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- mendelian_traits_matched_9/AUROC_by_chrom/all/Borzoi.LogisticRegression.chrom.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/Borzoi_L2_L2.plus.all.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/CADD+Borzoi.LogisticRegression.chrom.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/CADD+GPN-MSA.LogisticRegression.chrom.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/CADD.LogisticRegression.chrom.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/CADD.plus.RawScore.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/Caduceus.LogisticRegression.chrom.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/Caduceus_Embeddings.minus.inner_product.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/Caduceus_Embeddings.plus.cosine_distance.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/Caduceus_Embeddings.plus.euclidean_distance.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/Caduceus_LLR.minus.score.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/Caduceus_absLLR.plus.score.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/Enformer.LogisticRegression.chrom.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/Enformer_L2_L2.plus.all.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/GPN-MSA+Borzoi.LogisticRegression.chrom.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/GPN-MSA.LogisticRegression.chrom.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/GPN-MSA_Embeddings.minus.inner_product.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/GPN-MSA_Embeddings.plus.cosine_distance.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/GPN-MSA_Embeddings.plus.euclidean_distance.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/GPN-MSA_LLR.minus.score.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/GPN-MSA_absLLR.plus.score.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/GPN_final.LogisticRegression.chrom.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/GPN_final_Embeddings.minus.inner_product.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/GPN_final_Embeddings.plus.cosine_distance.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/GPN_final_Embeddings.plus.euclidean_distance.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/GPN_final_LLR.minus.score.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/GPN_final_absLLR.plus.score.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/HyenaDNA.LogisticRegression.chrom.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/HyenaDNA_Embeddings.minus.inner_product.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/HyenaDNA_Embeddings.plus.cosine_distance.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/HyenaDNA_Embeddings.plus.euclidean_distance.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/HyenaDNA_LLR.minus.score.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/HyenaDNA_absLLR.plus.score.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/NucleotideTransformer.LogisticRegression.chrom.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/NucleotideTransformer_Embeddings.minus.inner_product.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/NucleotideTransformer_Embeddings.plus.cosine_distance.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/NucleotideTransformer_Embeddings.plus.euclidean_distance.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/NucleotideTransformer_LLR.minus.score.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/NucleotideTransformer_absLLR.plus.score.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/Sei.LogisticRegression.chrom.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom/all/Sei.plus.seqclass_max_absdiff.csv +20 -0
- mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/Borzoi.LogisticRegression.chrom.csv +2 -0
- mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/CADD+Borzoi.LogisticRegression.chrom.csv +2 -0
- mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.csv +2 -0
- mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/CADD+GPN-MSA.LogisticRegression.chrom.csv +2 -0
- mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/CADD.LogisticRegression.chrom.csv +2 -0
- mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/CADD.plus.RawScore.csv +2 -0
- mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/Caduceus.LogisticRegression.chrom.csv +2 -0
- mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/Caduceus_Embeddings.minus.inner_product.csv +2 -0
mendelian_traits_matched_9/AUROC_by_chrom/all/Borzoi.LogisticRegression.chrom.csv
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chrom,n,Model,AUROC
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1,210,Borzoi.LogisticRegression.chrom,0.781557067271353
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3 |
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2,230,Borzoi.LogisticRegression.chrom,0.785549254358328
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4 |
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3,310,Borzoi.LogisticRegression.chrom,0.9140941149265811
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5,20,Borzoi.LogisticRegression.chrom,0.2777777777777778
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6,30,Borzoi.LogisticRegression.chrom,0.9753086419753088
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7,210,Borzoi.LogisticRegression.chrom,0.7923910304862686
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8 |
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8,70,Borzoi.LogisticRegression.chrom,0.7369614512471655
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9,240,Borzoi.LogisticRegression.chrom,0.8751929012345678
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10,190,Borzoi.LogisticRegression.chrom,0.7180670975684826
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11,480,Borzoi.LogisticRegression.chrom,0.8027102623456791
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12,30,Borzoi.LogisticRegression.chrom,0.7777777777777778
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13,210,Borzoi.LogisticRegression.chrom,0.5910808767951625
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14,40,Borzoi.LogisticRegression.chrom,0.5138888888888888
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16,80,Borzoi.LogisticRegression.chrom,0.9791666666666667
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17,60,Borzoi.LogisticRegression.chrom,0.7283950617283952
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19,400,Borzoi.LogisticRegression.chrom,0.8736111111111111
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20,50,Borzoi.LogisticRegression.chrom,0.9511111111111111
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22,20,Borzoi.LogisticRegression.chrom,1.0
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X,500,Borzoi.LogisticRegression.chrom,0.8129777777777777
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mendelian_traits_matched_9/AUROC_by_chrom/all/Borzoi_L2_L2.plus.all.csv
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chrom,n,Model,AUROC
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2 |
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1,210,Borzoi_L2_L2.plus.all,0.6608717561098514
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3 |
+
2,230,Borzoi_L2_L2.plus.all,0.7563537072043688
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+
3,310,Borzoi_L2_L2.plus.all,0.8363972713608511
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5,20,Borzoi_L2_L2.plus.all,0.6388888888888888
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6,30,Borzoi_L2_L2.plus.all,0.9876543209876544
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7,210,Borzoi_L2_L2.plus.all,0.6621315192743764
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8,70,Borzoi_L2_L2.plus.all,0.6757369614512472
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9,240,Borzoi_L2_L2.plus.all,0.8512731481481481
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10,190,Borzoi_L2_L2.plus.all,0.695906432748538
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11,480,Borzoi_L2_L2.plus.all,0.8355516975308642
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12,30,Borzoi_L2_L2.plus.all,0.7654320987654321
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13,210,Borzoi_L2_L2.plus.all,0.7588813303099018
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14,40,Borzoi_L2_L2.plus.all,0.4027777777777778
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16,80,Borzoi_L2_L2.plus.all,0.9045138888888888
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17,60,Borzoi_L2_L2.plus.all,0.8364197530864197
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19,400,Borzoi_L2_L2.plus.all,0.7103472222222222
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20,50,Borzoi_L2_L2.plus.all,0.8755555555555556
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22,20,Borzoi_L2_L2.plus.all,1.0
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X,500,Borzoi_L2_L2.plus.all,0.8748888888888888
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mendelian_traits_matched_9/AUROC_by_chrom/all/CADD+Borzoi.LogisticRegression.chrom.csv
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chrom,n,Model,AUROC
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1,210,CADD+Borzoi.LogisticRegression.chrom,0.7928949357520786
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3 |
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2,230,CADD+Borzoi.LogisticRegression.chrom,0.9374081075404327
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3,310,CADD+Borzoi.LogisticRegression.chrom,0.9416117470227773
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5,20,CADD+Borzoi.LogisticRegression.chrom,0.9444444444444444
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6,30,CADD+Borzoi.LogisticRegression.chrom,0.4814814814814815
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7,210,CADD+Borzoi.LogisticRegression.chrom,0.9556563366087175
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8,70,CADD+Borzoi.LogisticRegression.chrom,0.8503401360544217
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9,240,CADD+Borzoi.LogisticRegression.chrom,0.9637345679012346
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10,190,CADD+Borzoi.LogisticRegression.chrom,0.9458294859956909
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11,480,CADD+Borzoi.LogisticRegression.chrom,0.8029996141975307
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12,30,CADD+Borzoi.LogisticRegression.chrom,1.0
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13,210,CADD+Borzoi.LogisticRegression.chrom,0.9050138573948098
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14,40,CADD+Borzoi.LogisticRegression.chrom,0.7569444444444445
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16,80,CADD+Borzoi.LogisticRegression.chrom,0.9913194444444444
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17,60,CADD+Borzoi.LogisticRegression.chrom,0.8796296296296298
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19,400,CADD+Borzoi.LogisticRegression.chrom,0.9321527777777777
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20,50,CADD+Borzoi.LogisticRegression.chrom,0.9022222222222223
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22,20,CADD+Borzoi.LogisticRegression.chrom,1.0
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X,500,CADD+Borzoi.LogisticRegression.chrom,0.8432888888888889
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mendelian_traits_matched_9/AUROC_by_chrom/all/CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.csv
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chrom,n,Model,AUROC
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1,210,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.781557067271353
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+
2,230,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.9533711405166981
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+
3,310,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.9714417851774771
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5,20,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.9166666666666666
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6,30,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.9259259259259259
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+
7,210,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.9695137314184933
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+
8,70,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.7936507936507935
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+
9,240,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.9710648148148148
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+
10,190,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.8827331486611265
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+
11,480,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.857494212962963
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+
12,30,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,1.0
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13,210,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.8997228521038045
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14,40,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.7708333333333334
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16,80,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,1.0
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17,60,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.8858024691358024
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19,400,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.8231944444444443
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20,50,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.9822222222222222
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22,20,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,1.0
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X,500,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.8725333333333334
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mendelian_traits_matched_9/AUROC_by_chrom/all/CADD+GPN-MSA.LogisticRegression.chrom.csv
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chrom,n,Model,AUROC
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2 |
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1,210,CADD+GPN-MSA.LogisticRegression.chrom,0.8586545729402872
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3 |
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2,230,CADD+GPN-MSA.LogisticRegression.chrom,0.9838269271161522
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3,310,CADD+GPN-MSA.LogisticRegression.chrom,0.9826569545612209
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5,20,CADD+GPN-MSA.LogisticRegression.chrom,0.9444444444444444
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6,30,CADD+GPN-MSA.LogisticRegression.chrom,0.9012345679012346
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7,210,CADD+GPN-MSA.LogisticRegression.chrom,0.9894179894179894
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8,70,CADD+GPN-MSA.LogisticRegression.chrom,0.981859410430839
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9,240,CADD+GPN-MSA.LogisticRegression.chrom,0.9868827160493827
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+
10,190,CADD+GPN-MSA.LogisticRegression.chrom,0.891658971991382
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11,480,CADD+GPN-MSA.LogisticRegression.chrom,0.8785204475308641
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12,30,CADD+GPN-MSA.LogisticRegression.chrom,1.0
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13,210,CADD+GPN-MSA.LogisticRegression.chrom,0.8961955152431343
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14,40,CADD+GPN-MSA.LogisticRegression.chrom,0.798611111111111
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16,80,CADD+GPN-MSA.LogisticRegression.chrom,0.9722222222222222
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17,60,CADD+GPN-MSA.LogisticRegression.chrom,0.9722222222222223
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19,400,CADD+GPN-MSA.LogisticRegression.chrom,0.9956944444444444
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20,50,CADD+GPN-MSA.LogisticRegression.chrom,1.0
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22,20,CADD+GPN-MSA.LogisticRegression.chrom,1.0
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X,500,CADD+GPN-MSA.LogisticRegression.chrom,0.9716888888888889
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mendelian_traits_matched_9/AUROC_by_chrom/all/CADD.LogisticRegression.chrom.csv
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chrom,n,Model,AUROC
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2 |
+
1,210,CADD.LogisticRegression.chrom,0.9027462836986646
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+
2,230,CADD.LogisticRegression.chrom,0.9947490023104391
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+
3,310,CADD.LogisticRegression.chrom,0.9968782518210197
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5,20,CADD.LogisticRegression.chrom,0.9444444444444444
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6,30,CADD.LogisticRegression.chrom,0.7901234567901234
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+
7,210,CADD.LogisticRegression.chrom,0.9934492315444696
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+
8,70,CADD.LogisticRegression.chrom,1.0
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+
9,240,CADD.LogisticRegression.chrom,0.9892939814814814
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10,190,CADD.LogisticRegression.chrom,0.9233610341643583
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11,480,CADD.LogisticRegression.chrom,0.8959780092592593
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12,30,CADD.LogisticRegression.chrom,1.0
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13,210,CADD.LogisticRegression.chrom,0.9387755102040816
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14,40,CADD.LogisticRegression.chrom,0.7013888888888888
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16,80,CADD.LogisticRegression.chrom,0.9305555555555556
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17,60,CADD.LogisticRegression.chrom,0.9506172839506173
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19,400,CADD.LogisticRegression.chrom,0.9948611111111111
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20,50,CADD.LogisticRegression.chrom,0.9955555555555555
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22,20,CADD.LogisticRegression.chrom,1.0
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X,500,CADD.LogisticRegression.chrom,0.9879555555555556
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mendelian_traits_matched_9/AUROC_by_chrom/all/CADD.plus.RawScore.csv
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chrom,n,Model,AUROC
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2 |
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1,210,CADD.plus.RawScore,0.7601410934744268
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3 |
+
2,230,CADD.plus.RawScore,0.9073724007561437
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+
3,310,CADD.plus.RawScore,0.9277373106717539
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5 |
+
5,20,CADD.plus.RawScore,0.5555555555555556
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+
6,30,CADD.plus.RawScore,0.49382716049382713
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+
7,210,CADD.plus.RawScore,0.9486016628873771
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8 |
+
8,70,CADD.plus.RawScore,0.7482993197278911
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+
9,240,CADD.plus.RawScore,0.9259259259259259
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10 |
+
10,190,CADD.plus.RawScore,0.8741151123422591
|
11 |
+
11,480,CADD.plus.RawScore,0.869357638888889
|
12 |
+
12,30,CADD.plus.RawScore,1.0
|
13 |
+
13,210,CADD.plus.RawScore,0.8921642731166539
|
14 |
+
14,40,CADD.plus.RawScore,0.5694444444444444
|
15 |
+
16,80,CADD.plus.RawScore,0.921875
|
16 |
+
17,60,CADD.plus.RawScore,0.9259259259259259
|
17 |
+
19,400,CADD.plus.RawScore,0.9633333333333334
|
18 |
+
20,50,CADD.plus.RawScore,0.8311111111111111
|
19 |
+
22,20,CADD.plus.RawScore,1.0
|
20 |
+
X,500,CADD.plus.RawScore,0.9231555555555555
|
mendelian_traits_matched_9/AUROC_by_chrom/all/Caduceus.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,Caduceus.LogisticRegression.chrom,0.4920634920634921
|
3 |
+
2,230,Caduceus.LogisticRegression.chrom,0.4209199747952111
|
4 |
+
3,310,Caduceus.LogisticRegression.chrom,0.9236906000693722
|
5 |
+
5,20,Caduceus.LogisticRegression.chrom,0.3611111111111111
|
6 |
+
6,30,Caduceus.LogisticRegression.chrom,0.5925925925925926
|
7 |
+
7,210,Caduceus.LogisticRegression.chrom,0.9259259259259259
|
8 |
+
8,70,Caduceus.LogisticRegression.chrom,0.8276643990929704
|
9 |
+
9,240,Caduceus.LogisticRegression.chrom,0.47530864197530864
|
10 |
+
10,190,Caduceus.LogisticRegression.chrom,0.8193290243151738
|
11 |
+
11,480,Caduceus.LogisticRegression.chrom,0.33043981481481477
|
12 |
+
12,30,Caduceus.LogisticRegression.chrom,0.6049382716049383
|
13 |
+
13,210,Caduceus.LogisticRegression.chrom,0.5512723607961703
|
14 |
+
14,40,Caduceus.LogisticRegression.chrom,0.6597222222222222
|
15 |
+
16,80,Caduceus.LogisticRegression.chrom,0.7430555555555556
|
16 |
+
17,60,Caduceus.LogisticRegression.chrom,0.7067901234567902
|
17 |
+
19,400,Caduceus.LogisticRegression.chrom,0.6759027777777777
|
18 |
+
20,50,Caduceus.LogisticRegression.chrom,0.8355555555555556
|
19 |
+
22,20,Caduceus.LogisticRegression.chrom,0.25
|
20 |
+
X,500,Caduceus.LogisticRegression.chrom,0.5013333333333333
|
mendelian_traits_matched_9/AUROC_by_chrom/all/Caduceus_Embeddings.minus.inner_product.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,Caduceus_Embeddings.minus.inner_product,0.6041824137062232
|
3 |
+
2,230,Caduceus_Embeddings.minus.inner_product,0.7672757823986557
|
4 |
+
3,310,Caduceus_Embeddings.minus.inner_product,0.6246964967048214
|
5 |
+
5,20,Caduceus_Embeddings.minus.inner_product,0.6666666666666667
|
6 |
+
6,30,Caduceus_Embeddings.minus.inner_product,0.5925925925925926
|
7 |
+
7,210,Caduceus_Embeddings.minus.inner_product,0.6480221718316956
|
8 |
+
8,70,Caduceus_Embeddings.minus.inner_product,0.24036281179138325
|
9 |
+
9,240,Caduceus_Embeddings.minus.inner_product,0.7476851851851851
|
10 |
+
10,190,Caduceus_Embeddings.minus.inner_product,0.42659279778393355
|
11 |
+
11,480,Caduceus_Embeddings.minus.inner_product,0.3065682870370371
|
12 |
+
12,30,Caduceus_Embeddings.minus.inner_product,0.8024691358024691
|
13 |
+
13,210,Caduceus_Embeddings.minus.inner_product,0.599647266313933
|
14 |
+
14,40,Caduceus_Embeddings.minus.inner_product,0.3888888888888889
|
15 |
+
16,80,Caduceus_Embeddings.minus.inner_product,0.8680555555555556
|
16 |
+
17,60,Caduceus_Embeddings.minus.inner_product,0.5802469135802469
|
17 |
+
19,400,Caduceus_Embeddings.minus.inner_product,0.6429166666666667
|
18 |
+
20,50,Caduceus_Embeddings.minus.inner_product,0.5599999999999999
|
19 |
+
22,20,Caduceus_Embeddings.minus.inner_product,0.11111111111111116
|
20 |
+
X,500,Caduceus_Embeddings.minus.inner_product,0.3831555555555555
|
mendelian_traits_matched_9/AUROC_by_chrom/all/Caduceus_Embeddings.plus.cosine_distance.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,Caduceus_Embeddings.plus.cosine_distance,0.5776014109347444
|
3 |
+
2,230,Caduceus_Embeddings.plus.cosine_distance,0.7182314639781558
|
4 |
+
3,310,Caduceus_Embeddings.plus.cosine_distance,0.5766562608394034
|
5 |
+
5,20,Caduceus_Embeddings.plus.cosine_distance,0.5555555555555556
|
6 |
+
6,30,Caduceus_Embeddings.plus.cosine_distance,0.6358024691358025
|
7 |
+
7,210,Caduceus_Embeddings.plus.cosine_distance,0.6216931216931219
|
8 |
+
8,70,Caduceus_Embeddings.plus.cosine_distance,0.4489795918367347
|
9 |
+
9,240,Caduceus_Embeddings.plus.cosine_distance,0.48148148148148145
|
10 |
+
10,190,Caduceus_Embeddings.plus.cosine_distance,0.417513080947984
|
11 |
+
11,480,Caduceus_Embeddings.plus.cosine_distance,0.5022907021604939
|
12 |
+
12,30,Caduceus_Embeddings.plus.cosine_distance,0.41358024691358025
|
13 |
+
13,210,Caduceus_Embeddings.plus.cosine_distance,0.2792894935752078
|
14 |
+
14,40,Caduceus_Embeddings.plus.cosine_distance,0.6874999999999999
|
15 |
+
16,80,Caduceus_Embeddings.plus.cosine_distance,0.6163194444444444
|
16 |
+
17,60,Caduceus_Embeddings.plus.cosine_distance,0.5540123456790124
|
17 |
+
19,400,Caduceus_Embeddings.plus.cosine_distance,0.5980902777777777
|
18 |
+
20,50,Caduceus_Embeddings.plus.cosine_distance,0.5022222222222222
|
19 |
+
22,20,Caduceus_Embeddings.plus.cosine_distance,0.6111111111111112
|
20 |
+
X,500,Caduceus_Embeddings.plus.cosine_distance,0.5097777777777778
|
mendelian_traits_matched_9/AUROC_by_chrom/all/Caduceus_Embeddings.plus.euclidean_distance.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,Caduceus_Embeddings.plus.euclidean_distance,0.5668934240362812
|
3 |
+
2,230,Caduceus_Embeddings.plus.euclidean_distance,0.7021634110480991
|
4 |
+
3,310,Caduceus_Embeddings.plus.euclidean_distance,0.5555555555555556
|
5 |
+
5,20,Caduceus_Embeddings.plus.euclidean_distance,0.5555555555555556
|
6 |
+
6,30,Caduceus_Embeddings.plus.euclidean_distance,0.6790123456790125
|
7 |
+
7,210,Caduceus_Embeddings.plus.euclidean_distance,0.6051902242378433
|
8 |
+
8,70,Caduceus_Embeddings.plus.euclidean_distance,0.48299319727891155
|
9 |
+
9,240,Caduceus_Embeddings.plus.euclidean_distance,0.46219135802469136
|
10 |
+
10,190,Caduceus_Embeddings.plus.euclidean_distance,0.41951369652200676
|
11 |
+
11,480,Caduceus_Embeddings.plus.euclidean_distance,0.5180362654320988
|
12 |
+
12,30,Caduceus_Embeddings.plus.euclidean_distance,0.38271604938271603
|
13 |
+
13,210,Caduceus_Embeddings.plus.euclidean_distance,0.2746283698664651
|
14 |
+
14,40,Caduceus_Embeddings.plus.euclidean_distance,0.7013888888888888
|
15 |
+
16,80,Caduceus_Embeddings.plus.euclidean_distance,0.5954861111111112
|
16 |
+
17,60,Caduceus_Embeddings.plus.euclidean_distance,0.5432098765432098
|
17 |
+
19,400,Caduceus_Embeddings.plus.euclidean_distance,0.59125
|
18 |
+
20,50,Caduceus_Embeddings.plus.euclidean_distance,0.48888888888888893
|
19 |
+
22,20,Caduceus_Embeddings.plus.euclidean_distance,0.6111111111111112
|
20 |
+
X,500,Caduceus_Embeddings.plus.euclidean_distance,0.5256444444444445
|
mendelian_traits_matched_9/AUROC_by_chrom/all/Caduceus_LLR.minus.score.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,Caduceus_LLR.minus.score,0.5385487528344672
|
3 |
+
2,230,Caduceus_LLR.minus.score,0.5420079815164881
|
4 |
+
3,310,Caduceus_LLR.minus.score,0.5894323043126373
|
5 |
+
5,20,Caduceus_LLR.minus.score,0.08333333333333331
|
6 |
+
6,30,Caduceus_LLR.minus.score,0.5185185185185185
|
7 |
+
7,210,Caduceus_LLR.minus.score,0.4293272864701436
|
8 |
+
8,70,Caduceus_LLR.minus.score,0.4319727891156463
|
9 |
+
9,240,Caduceus_LLR.minus.score,0.558545524691358
|
10 |
+
10,190,Caduceus_LLR.minus.score,0.5670975684826101
|
11 |
+
11,480,Caduceus_LLR.minus.score,0.5433304398148148
|
12 |
+
12,30,Caduceus_LLR.minus.score,0.5432098765432098
|
13 |
+
13,210,Caduceus_LLR.minus.score,0.536785084404132
|
14 |
+
14,40,Caduceus_LLR.minus.score,0.3680555555555556
|
15 |
+
16,80,Caduceus_LLR.minus.score,0.3159722222222222
|
16 |
+
17,60,Caduceus_LLR.minus.score,0.4876543209876543
|
17 |
+
19,400,Caduceus_LLR.minus.score,0.5207986111111111
|
18 |
+
20,50,Caduceus_LLR.minus.score,0.47555555555555556
|
19 |
+
22,20,Caduceus_LLR.minus.score,0.2777777777777778
|
20 |
+
X,500,Caduceus_LLR.minus.score,0.44906666666666667
|
mendelian_traits_matched_9/AUROC_by_chrom/all/Caduceus_absLLR.plus.score.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,Caduceus_absLLR.plus.score,0.5337616528092718
|
3 |
+
2,230,Caduceus_absLLR.plus.score,0.22873345935727787
|
4 |
+
3,310,Caduceus_absLLR.plus.score,0.4277951208232165
|
5 |
+
5,20,Caduceus_absLLR.plus.score,0.3888888888888889
|
6 |
+
6,30,Caduceus_absLLR.plus.score,0.20987654320987653
|
7 |
+
7,210,Caduceus_absLLR.plus.score,0.42882338120433355
|
8 |
+
8,70,Caduceus_absLLR.plus.score,0.24943310657596374
|
9 |
+
9,240,Caduceus_absLLR.plus.score,0.4379822530864198
|
10 |
+
10,190,Caduceus_absLLR.plus.score,0.32948599569098186
|
11 |
+
11,480,Caduceus_absLLR.plus.score,0.42112750771604934
|
12 |
+
12,30,Caduceus_absLLR.plus.score,0.5432098765432098
|
13 |
+
13,210,Caduceus_absLLR.plus.score,0.36709498614260516
|
14 |
+
14,40,Caduceus_absLLR.plus.score,0.5208333333333333
|
15 |
+
16,80,Caduceus_absLLR.plus.score,0.43402777777777785
|
16 |
+
17,60,Caduceus_absLLR.plus.score,0.5864197530864198
|
17 |
+
19,400,Caduceus_absLLR.plus.score,0.3511111111111111
|
18 |
+
20,50,Caduceus_absLLR.plus.score,0.36444444444444446
|
19 |
+
22,20,Caduceus_absLLR.plus.score,0.16666666666666669
|
20 |
+
X,500,Caduceus_absLLR.plus.score,0.37464444444444445
|
mendelian_traits_matched_9/AUROC_by_chrom/all/Enformer.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,Enformer.LogisticRegression.chrom,0.6364323507180649
|
3 |
+
2,230,Enformer.LogisticRegression.chrom,0.9105229993698802
|
4 |
+
3,310,Enformer.LogisticRegression.chrom,0.7879523644351948
|
5 |
+
5,20,Enformer.LogisticRegression.chrom,0.3055555555555556
|
6 |
+
6,30,Enformer.LogisticRegression.chrom,0.8395061728395061
|
7 |
+
7,210,Enformer.LogisticRegression.chrom,0.7362055933484505
|
8 |
+
8,70,Enformer.LogisticRegression.chrom,0.6530612244897958
|
9 |
+
9,240,Enformer.LogisticRegression.chrom,0.8001543209876543
|
10 |
+
10,190,Enformer.LogisticRegression.chrom,0.7633117882425362
|
11 |
+
11,480,Enformer.LogisticRegression.chrom,0.7004243827160493
|
12 |
+
12,30,Enformer.LogisticRegression.chrom,0.691358024691358
|
13 |
+
13,210,Enformer.LogisticRegression.chrom,0.7523305618543714
|
14 |
+
14,40,Enformer.LogisticRegression.chrom,0.4722222222222222
|
15 |
+
16,80,Enformer.LogisticRegression.chrom,0.9322916666666666
|
16 |
+
17,60,Enformer.LogisticRegression.chrom,0.7037037037037037
|
17 |
+
19,400,Enformer.LogisticRegression.chrom,0.8240972222222223
|
18 |
+
20,50,Enformer.LogisticRegression.chrom,0.9955555555555555
|
19 |
+
22,20,Enformer.LogisticRegression.chrom,1.0
|
20 |
+
X,500,Enformer.LogisticRegression.chrom,0.8422222222222222
|
mendelian_traits_matched_9/AUROC_by_chrom/all/Enformer_L2_L2.plus.all.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,Enformer_L2_L2.plus.all,0.6588561350466111
|
3 |
+
2,230,Enformer_L2_L2.plus.all,0.8508716656164672
|
4 |
+
3,310,Enformer_L2_L2.plus.all,0.8598681928546652
|
5 |
+
5,20,Enformer_L2_L2.plus.all,0.8055555555555556
|
6 |
+
6,30,Enformer_L2_L2.plus.all,0.8641975308641976
|
7 |
+
7,210,Enformer_L2_L2.plus.all,0.6671705719324768
|
8 |
+
8,70,Enformer_L2_L2.plus.all,0.6258503401360543
|
9 |
+
9,240,Enformer_L2_L2.plus.all,0.9203317901234568
|
10 |
+
10,190,Enformer_L2_L2.plus.all,0.7057556171129579
|
11 |
+
11,480,Enformer_L2_L2.plus.all,0.7947048611111112
|
12 |
+
12,30,Enformer_L2_L2.plus.all,0.7777777777777777
|
13 |
+
13,210,Enformer_L2_L2.plus.all,0.745275888133031
|
14 |
+
14,40,Enformer_L2_L2.plus.all,0.3263888888888889
|
15 |
+
16,80,Enformer_L2_L2.plus.all,0.7517361111111112
|
16 |
+
17,60,Enformer_L2_L2.plus.all,0.7037037037037037
|
17 |
+
19,400,Enformer_L2_L2.plus.all,0.6347222222222222
|
18 |
+
20,50,Enformer_L2_L2.plus.all,0.9688888888888888
|
19 |
+
22,20,Enformer_L2_L2.plus.all,1.0
|
20 |
+
X,500,Enformer_L2_L2.plus.all,0.8268444444444444
|
mendelian_traits_matched_9/AUROC_by_chrom/all/GPN-MSA+Borzoi.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,GPN-MSA+Borzoi.LogisticRegression.chrom,0.8080120937263794
|
3 |
+
2,230,GPN-MSA+Borzoi.LogisticRegression.chrom,0.9563116992228523
|
4 |
+
3,310,GPN-MSA+Borzoi.LogisticRegression.chrom,0.9546768412533242
|
5 |
+
5,20,GPN-MSA+Borzoi.LogisticRegression.chrom,0.9444444444444444
|
6 |
+
6,30,GPN-MSA+Borzoi.LogisticRegression.chrom,0.9259259259259259
|
7 |
+
7,210,GPN-MSA+Borzoi.LogisticRegression.chrom,0.9811035525321239
|
8 |
+
8,70,GPN-MSA+Borzoi.LogisticRegression.chrom,0.7709750566893424
|
9 |
+
9,240,GPN-MSA+Borzoi.LogisticRegression.chrom,0.9660493827160495
|
10 |
+
10,190,GPN-MSA+Borzoi.LogisticRegression.chrom,0.8421052631578947
|
11 |
+
11,480,GPN-MSA+Borzoi.LogisticRegression.chrom,0.8346354166666666
|
12 |
+
12,30,GPN-MSA+Borzoi.LogisticRegression.chrom,1.0
|
13 |
+
13,210,GPN-MSA+Borzoi.LogisticRegression.chrom,0.8578987150415722
|
14 |
+
14,40,GPN-MSA+Borzoi.LogisticRegression.chrom,0.75
|
15 |
+
16,80,GPN-MSA+Borzoi.LogisticRegression.chrom,1.0
|
16 |
+
17,60,GPN-MSA+Borzoi.LogisticRegression.chrom,0.8425925925925926
|
17 |
+
19,400,GPN-MSA+Borzoi.LogisticRegression.chrom,0.9789583333333334
|
18 |
+
20,50,GPN-MSA+Borzoi.LogisticRegression.chrom,0.9955555555555555
|
19 |
+
22,20,GPN-MSA+Borzoi.LogisticRegression.chrom,1.0
|
20 |
+
X,500,GPN-MSA+Borzoi.LogisticRegression.chrom,0.942
|
mendelian_traits_matched_9/AUROC_by_chrom/all/GPN-MSA.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,GPN-MSA.LogisticRegression.chrom,0.782312925170068
|
3 |
+
2,230,GPN-MSA.LogisticRegression.chrom,0.9682839739550515
|
4 |
+
3,310,GPN-MSA.LogisticRegression.chrom,0.978494623655914
|
5 |
+
5,20,GPN-MSA.LogisticRegression.chrom,0.6666666666666666
|
6 |
+
6,30,GPN-MSA.LogisticRegression.chrom,0.9753086419753086
|
7 |
+
7,210,GPN-MSA.LogisticRegression.chrom,0.982867220962459
|
8 |
+
8,70,GPN-MSA.LogisticRegression.chrom,0.8458049886621315
|
9 |
+
9,240,GPN-MSA.LogisticRegression.chrom,0.9701003086419754
|
10 |
+
10,190,GPN-MSA.LogisticRegression.chrom,0.8187134502923977
|
11 |
+
11,480,GPN-MSA.LogisticRegression.chrom,0.8785686728395061
|
12 |
+
12,30,GPN-MSA.LogisticRegression.chrom,1.0
|
13 |
+
13,210,GPN-MSA.LogisticRegression.chrom,0.8294280675233057
|
14 |
+
14,40,GPN-MSA.LogisticRegression.chrom,0.7430555555555556
|
15 |
+
16,80,GPN-MSA.LogisticRegression.chrom,0.8506944444444444
|
16 |
+
17,60,GPN-MSA.LogisticRegression.chrom,0.9320987654320988
|
17 |
+
19,400,GPN-MSA.LogisticRegression.chrom,0.986875
|
18 |
+
20,50,GPN-MSA.LogisticRegression.chrom,0.9955555555555555
|
19 |
+
22,20,GPN-MSA.LogisticRegression.chrom,1.0
|
20 |
+
X,500,GPN-MSA.LogisticRegression.chrom,0.8766666666666666
|
mendelian_traits_matched_9/AUROC_by_chrom/all/GPN-MSA_Embeddings.minus.inner_product.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,GPN-MSA_Embeddings.minus.inner_product,0.654320987654321
|
3 |
+
2,230,GPN-MSA_Embeddings.minus.inner_product,0.8273471959672337
|
4 |
+
3,310,GPN-MSA_Embeddings.minus.inner_product,0.760087871430223
|
5 |
+
5,20,GPN-MSA_Embeddings.minus.inner_product,0.75
|
6 |
+
6,30,GPN-MSA_Embeddings.minus.inner_product,0.6049382716049383
|
7 |
+
7,210,GPN-MSA_Embeddings.minus.inner_product,0.9032501889644746
|
8 |
+
8,70,GPN-MSA_Embeddings.minus.inner_product,0.746031746031746
|
9 |
+
9,240,GPN-MSA_Embeddings.minus.inner_product,0.9255401234567902
|
10 |
+
10,190,GPN-MSA_Embeddings.minus.inner_product,0.5484764542936288
|
11 |
+
11,480,GPN-MSA_Embeddings.minus.inner_product,0.7387393904320988
|
12 |
+
12,30,GPN-MSA_Embeddings.minus.inner_product,0.9012345679012346
|
13 |
+
13,210,GPN-MSA_Embeddings.minus.inner_product,0.7163013353489545
|
14 |
+
14,40,GPN-MSA_Embeddings.minus.inner_product,0.701388888888889
|
15 |
+
16,80,GPN-MSA_Embeddings.minus.inner_product,0.8125
|
16 |
+
17,60,GPN-MSA_Embeddings.minus.inner_product,0.7191358024691359
|
17 |
+
19,400,GPN-MSA_Embeddings.minus.inner_product,0.7413888888888889
|
18 |
+
20,50,GPN-MSA_Embeddings.minus.inner_product,0.8888888888888888
|
19 |
+
22,20,GPN-MSA_Embeddings.minus.inner_product,0.8611111111111112
|
20 |
+
X,500,GPN-MSA_Embeddings.minus.inner_product,0.8544444444444445
|
mendelian_traits_matched_9/AUROC_by_chrom/all/GPN-MSA_Embeddings.plus.cosine_distance.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,GPN-MSA_Embeddings.plus.cosine_distance,0.6044343663391283
|
3 |
+
2,230,GPN-MSA_Embeddings.plus.cosine_distance,0.6702373450955681
|
4 |
+
3,310,GPN-MSA_Embeddings.plus.cosine_distance,0.6518672678922418
|
5 |
+
5,20,GPN-MSA_Embeddings.plus.cosine_distance,0.6944444444444444
|
6 |
+
6,30,GPN-MSA_Embeddings.plus.cosine_distance,0.49382716049382713
|
7 |
+
7,210,GPN-MSA_Embeddings.plus.cosine_distance,0.7052154195011338
|
8 |
+
8,70,GPN-MSA_Embeddings.plus.cosine_distance,0.6893424036281179
|
9 |
+
9,240,GPN-MSA_Embeddings.plus.cosine_distance,0.802854938271605
|
10 |
+
10,190,GPN-MSA_Embeddings.plus.cosine_distance,0.4832256078793475
|
11 |
+
11,480,GPN-MSA_Embeddings.plus.cosine_distance,0.7213541666666666
|
12 |
+
12,30,GPN-MSA_Embeddings.plus.cosine_distance,0.5679012345679013
|
13 |
+
13,210,GPN-MSA_Embeddings.plus.cosine_distance,0.5605946082136558
|
14 |
+
14,40,GPN-MSA_Embeddings.plus.cosine_distance,0.638888888888889
|
15 |
+
16,80,GPN-MSA_Embeddings.plus.cosine_distance,0.8020833333333334
|
16 |
+
17,60,GPN-MSA_Embeddings.plus.cosine_distance,0.5987654320987654
|
17 |
+
19,400,GPN-MSA_Embeddings.plus.cosine_distance,0.5430555555555555
|
18 |
+
20,50,GPN-MSA_Embeddings.plus.cosine_distance,0.7511111111111111
|
19 |
+
22,20,GPN-MSA_Embeddings.plus.cosine_distance,0.8055555555555556
|
20 |
+
X,500,GPN-MSA_Embeddings.plus.cosine_distance,0.8054222222222223
|
mendelian_traits_matched_9/AUROC_by_chrom/all/GPN-MSA_Embeddings.plus.euclidean_distance.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,GPN-MSA_Embeddings.plus.euclidean_distance,0.6041824137062233
|
3 |
+
2,230,GPN-MSA_Embeddings.plus.euclidean_distance,0.6666666666666667
|
4 |
+
3,310,GPN-MSA_Embeddings.plus.euclidean_distance,0.6510579257717656
|
5 |
+
5,20,GPN-MSA_Embeddings.plus.euclidean_distance,0.6944444444444444
|
6 |
+
6,30,GPN-MSA_Embeddings.plus.euclidean_distance,0.49382716049382713
|
7 |
+
7,210,GPN-MSA_Embeddings.plus.euclidean_distance,0.7034517510707987
|
8 |
+
8,70,GPN-MSA_Embeddings.plus.euclidean_distance,0.6893424036281179
|
9 |
+
9,240,GPN-MSA_Embeddings.plus.euclidean_distance,0.8009259259259259
|
10 |
+
10,190,GPN-MSA_Embeddings.plus.euclidean_distance,0.4826100338565712
|
11 |
+
11,480,GPN-MSA_Embeddings.plus.euclidean_distance,0.7212094907407407
|
12 |
+
12,30,GPN-MSA_Embeddings.plus.euclidean_distance,0.5679012345679013
|
13 |
+
13,210,GPN-MSA_Embeddings.plus.euclidean_distance,0.5593348450491307
|
14 |
+
14,40,GPN-MSA_Embeddings.plus.euclidean_distance,0.638888888888889
|
15 |
+
16,80,GPN-MSA_Embeddings.plus.euclidean_distance,0.8020833333333334
|
16 |
+
17,60,GPN-MSA_Embeddings.plus.euclidean_distance,0.5987654320987654
|
17 |
+
19,400,GPN-MSA_Embeddings.plus.euclidean_distance,0.5414583333333333
|
18 |
+
20,50,GPN-MSA_Embeddings.plus.euclidean_distance,0.7466666666666666
|
19 |
+
22,20,GPN-MSA_Embeddings.plus.euclidean_distance,0.8055555555555556
|
20 |
+
X,500,GPN-MSA_Embeddings.plus.euclidean_distance,0.8047111111111112
|
mendelian_traits_matched_9/AUROC_by_chrom/all/GPN-MSA_LLR.minus.score.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,GPN-MSA_LLR.minus.score,0.8034769463340892
|
3 |
+
2,230,GPN-MSA_LLR.minus.score,0.9443394244906533
|
4 |
+
3,310,GPN-MSA_LLR.minus.score,0.9225343970401203
|
5 |
+
5,20,GPN-MSA_LLR.minus.score,0.7222222222222222
|
6 |
+
6,30,GPN-MSA_LLR.minus.score,0.6296296296296295
|
7 |
+
7,210,GPN-MSA_LLR.minus.score,0.9599395313681027
|
8 |
+
8,70,GPN-MSA_LLR.minus.score,0.9070294784580498
|
9 |
+
9,240,GPN-MSA_LLR.minus.score,0.9168595679012346
|
10 |
+
10,190,GPN-MSA_LLR.minus.score,0.8076331178824254
|
11 |
+
11,480,GPN-MSA_LLR.minus.score,0.9094569830246914
|
12 |
+
12,30,GPN-MSA_LLR.minus.score,1.0
|
13 |
+
13,210,GPN-MSA_LLR.minus.score,0.9236583522297809
|
14 |
+
14,40,GPN-MSA_LLR.minus.score,0.6875
|
15 |
+
16,80,GPN-MSA_LLR.minus.score,0.796875
|
16 |
+
17,60,GPN-MSA_LLR.minus.score,0.919753086419753
|
17 |
+
19,400,GPN-MSA_LLR.minus.score,0.9801388888888888
|
18 |
+
20,50,GPN-MSA_LLR.minus.score,0.8533333333333333
|
19 |
+
22,20,GPN-MSA_LLR.minus.score,0.9166666666666667
|
20 |
+
X,500,GPN-MSA_LLR.minus.score,0.9062
|
mendelian_traits_matched_9/AUROC_by_chrom/all/GPN-MSA_absLLR.plus.score.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,GPN-MSA_absLLR.plus.score,0.7205845301083397
|
3 |
+
2,230,GPN-MSA_absLLR.plus.score,0.9371980676328501
|
4 |
+
3,310,GPN-MSA_absLLR.plus.score,0.8807954676841254
|
5 |
+
5,20,GPN-MSA_absLLR.plus.score,0.5833333333333333
|
6 |
+
6,30,GPN-MSA_absLLR.plus.score,0.4444444444444444
|
7 |
+
7,210,GPN-MSA_absLLR.plus.score,0.9337364575459813
|
8 |
+
8,70,GPN-MSA_absLLR.plus.score,0.8639455782312925
|
9 |
+
9,240,GPN-MSA_absLLR.plus.score,0.881172839506173
|
10 |
+
10,190,GPN-MSA_absLLR.plus.score,0.7048322560787934
|
11 |
+
11,480,GPN-MSA_absLLR.plus.score,0.8631365740740741
|
12 |
+
12,30,GPN-MSA_absLLR.plus.score,1.0
|
13 |
+
13,210,GPN-MSA_absLLR.plus.score,0.8982111363063744
|
14 |
+
14,40,GPN-MSA_absLLR.plus.score,0.5833333333333334
|
15 |
+
16,80,GPN-MSA_absLLR.plus.score,0.6770833333333334
|
16 |
+
17,60,GPN-MSA_absLLR.plus.score,0.8765432098765432
|
17 |
+
19,400,GPN-MSA_absLLR.plus.score,0.9699305555555555
|
18 |
+
20,50,GPN-MSA_absLLR.plus.score,0.7999999999999999
|
19 |
+
22,20,GPN-MSA_absLLR.plus.score,0.8611111111111112
|
20 |
+
X,500,GPN-MSA_absLLR.plus.score,0.8963333333333333
|
mendelian_traits_matched_9/AUROC_by_chrom/all/GPN_final.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,GPN_final.LogisticRegression.chrom,0.652557319223986
|
3 |
+
2,230,GPN_final.LogisticRegression.chrom,0.9073724007561437
|
4 |
+
3,310,GPN_final.LogisticRegression.chrom,0.6873627008902763
|
5 |
+
5,20,GPN_final.LogisticRegression.chrom,0.4166666666666667
|
6 |
+
6,30,GPN_final.LogisticRegression.chrom,0.8518518518518519
|
7 |
+
7,210,GPN_final.LogisticRegression.chrom,0.8697404887881078
|
8 |
+
8,70,GPN_final.LogisticRegression.chrom,0.6439909297052154
|
9 |
+
9,240,GPN_final.LogisticRegression.chrom,0.4849537037037037
|
10 |
+
10,190,GPN_final.LogisticRegression.chrom,0.5869498307171437
|
11 |
+
11,480,GPN_final.LogisticRegression.chrom,0.8644386574074073
|
12 |
+
12,30,GPN_final.LogisticRegression.chrom,0.8641975308641975
|
13 |
+
13,210,GPN_final.LogisticRegression.chrom,0.7288989669942051
|
14 |
+
14,40,GPN_final.LogisticRegression.chrom,0.7847222222222222
|
15 |
+
16,80,GPN_final.LogisticRegression.chrom,0.5972222222222222
|
16 |
+
17,60,GPN_final.LogisticRegression.chrom,0.7993827160493827
|
17 |
+
19,400,GPN_final.LogisticRegression.chrom,0.9595138888888889
|
18 |
+
20,50,GPN_final.LogisticRegression.chrom,0.9511111111111111
|
19 |
+
22,20,GPN_final.LogisticRegression.chrom,0.8333333333333334
|
20 |
+
X,500,GPN_final.LogisticRegression.chrom,0.6849333333333334
|
mendelian_traits_matched_9/AUROC_by_chrom/all/GPN_final_Embeddings.minus.inner_product.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,GPN_final_Embeddings.minus.inner_product,0.5054169816074578
|
3 |
+
2,230,GPN_final_Embeddings.minus.inner_product,0.7429111531190927
|
4 |
+
3,310,GPN_final_Embeddings.minus.inner_product,0.5493120591975951
|
5 |
+
5,20,GPN_final_Embeddings.minus.inner_product,0.08333333333333337
|
6 |
+
6,30,GPN_final_Embeddings.minus.inner_product,0.2469135802469136
|
7 |
+
7,210,GPN_final_Embeddings.minus.inner_product,0.7561098513479466
|
8 |
+
8,70,GPN_final_Embeddings.minus.inner_product,0.5374149659863945
|
9 |
+
9,240,GPN_final_Embeddings.minus.inner_product,0.6572145061728395
|
10 |
+
10,190,GPN_final_Embeddings.minus.inner_product,0.6454293628808864
|
11 |
+
11,480,GPN_final_Embeddings.minus.inner_product,0.29142554012345684
|
12 |
+
12,30,GPN_final_Embeddings.minus.inner_product,0.19753086419753085
|
13 |
+
13,210,GPN_final_Embeddings.minus.inner_product,0.44721592340639965
|
14 |
+
14,40,GPN_final_Embeddings.minus.inner_product,0.4097222222222222
|
15 |
+
16,80,GPN_final_Embeddings.minus.inner_product,0.6197916666666666
|
16 |
+
17,60,GPN_final_Embeddings.minus.inner_product,0.3395061728395061
|
17 |
+
19,400,GPN_final_Embeddings.minus.inner_product,0.08062500000000002
|
18 |
+
20,50,GPN_final_Embeddings.minus.inner_product,0.14222222222222222
|
19 |
+
22,20,GPN_final_Embeddings.minus.inner_product,0.36111111111111116
|
20 |
+
X,500,GPN_final_Embeddings.minus.inner_product,0.22857777777777777
|
mendelian_traits_matched_9/AUROC_by_chrom/all/GPN_final_Embeddings.plus.cosine_distance.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,GPN_final_Embeddings.plus.cosine_distance,0.6397077349458301
|
3 |
+
2,230,GPN_final_Embeddings.plus.cosine_distance,0.8605335013652594
|
4 |
+
3,310,GPN_final_Embeddings.plus.cosine_distance,0.4368135044513816
|
5 |
+
5,20,GPN_final_Embeddings.plus.cosine_distance,0.7222222222222222
|
6 |
+
6,30,GPN_final_Embeddings.plus.cosine_distance,0.49382716049382713
|
7 |
+
7,210,GPN_final_Embeddings.plus.cosine_distance,0.7676996724615772
|
8 |
+
8,70,GPN_final_Embeddings.plus.cosine_distance,0.47845804988662133
|
9 |
+
9,240,GPN_final_Embeddings.plus.cosine_distance,0.4853395061728395
|
10 |
+
10,190,GPN_final_Embeddings.plus.cosine_distance,0.6103416435826408
|
11 |
+
11,480,GPN_final_Embeddings.plus.cosine_distance,0.5473090277777778
|
12 |
+
12,30,GPN_final_Embeddings.plus.cosine_distance,0.5555555555555556
|
13 |
+
13,210,GPN_final_Embeddings.plus.cosine_distance,0.7702191987906274
|
14 |
+
14,40,GPN_final_Embeddings.plus.cosine_distance,0.47222222222222215
|
15 |
+
16,80,GPN_final_Embeddings.plus.cosine_distance,0.796875
|
16 |
+
17,60,GPN_final_Embeddings.plus.cosine_distance,0.6975308641975309
|
17 |
+
19,400,GPN_final_Embeddings.plus.cosine_distance,0.38791666666666663
|
18 |
+
20,50,GPN_final_Embeddings.plus.cosine_distance,0.72
|
19 |
+
22,20,GPN_final_Embeddings.plus.cosine_distance,0.9444444444444444
|
20 |
+
X,500,GPN_final_Embeddings.plus.cosine_distance,0.6855111111111112
|
mendelian_traits_matched_9/AUROC_by_chrom/all/GPN_final_Embeddings.plus.euclidean_distance.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,GPN_final_Embeddings.plus.euclidean_distance,0.6336608717561099
|
3 |
+
2,230,GPN_final_Embeddings.plus.euclidean_distance,0.6017643352236925
|
4 |
+
3,310,GPN_final_Embeddings.plus.euclidean_distance,0.3625852699734073
|
5 |
+
5,20,GPN_final_Embeddings.plus.euclidean_distance,1.0
|
6 |
+
6,30,GPN_final_Embeddings.plus.euclidean_distance,0.8148148148148149
|
7 |
+
7,210,GPN_final_Embeddings.plus.euclidean_distance,0.6696900982615268
|
8 |
+
8,70,GPN_final_Embeddings.plus.euclidean_distance,0.49206349206349204
|
9 |
+
9,240,GPN_final_Embeddings.plus.euclidean_distance,0.3221450617283951
|
10 |
+
10,190,GPN_final_Embeddings.plus.euclidean_distance,0.4813788858110188
|
11 |
+
11,480,GPN_final_Embeddings.plus.euclidean_distance,0.7267554012345679
|
12 |
+
12,30,GPN_final_Embeddings.plus.euclidean_distance,0.8024691358024691
|
13 |
+
13,210,GPN_final_Embeddings.plus.euclidean_distance,0.7860922146636431
|
14 |
+
14,40,GPN_final_Embeddings.plus.euclidean_distance,0.5833333333333334
|
15 |
+
16,80,GPN_final_Embeddings.plus.euclidean_distance,0.7812499999999999
|
16 |
+
17,60,GPN_final_Embeddings.plus.euclidean_distance,0.8271604938271605
|
17 |
+
19,400,GPN_final_Embeddings.plus.euclidean_distance,0.714375
|
18 |
+
20,50,GPN_final_Embeddings.plus.euclidean_distance,0.8755555555555555
|
19 |
+
22,20,GPN_final_Embeddings.plus.euclidean_distance,0.9444444444444444
|
20 |
+
X,500,GPN_final_Embeddings.plus.euclidean_distance,0.899688888888889
|
mendelian_traits_matched_9/AUROC_by_chrom/all/GPN_final_LLR.minus.score.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,GPN_final_LLR.minus.score,0.6477702191987906
|
3 |
+
2,230,GPN_final_LLR.minus.score,0.6851501785339215
|
4 |
+
3,310,GPN_final_LLR.minus.score,0.6834894207422824
|
5 |
+
5,20,GPN_final_LLR.minus.score,0.2777777777777778
|
6 |
+
6,30,GPN_final_LLR.minus.score,0.7530864197530864
|
7 |
+
7,210,GPN_final_LLR.minus.score,0.5508944318468127
|
8 |
+
8,70,GPN_final_LLR.minus.score,0.4308390022675737
|
9 |
+
9,240,GPN_final_LLR.minus.score,0.5200617283950617
|
10 |
+
10,190,GPN_final_LLR.minus.score,0.5857186826715912
|
11 |
+
11,480,GPN_final_LLR.minus.score,0.7993827160493827
|
12 |
+
12,30,GPN_final_LLR.minus.score,0.8395061728395062
|
13 |
+
13,210,GPN_final_LLR.minus.score,0.7144116906021667
|
14 |
+
14,40,GPN_final_LLR.minus.score,0.45833333333333337
|
15 |
+
16,80,GPN_final_LLR.minus.score,0.42013888888888895
|
16 |
+
17,60,GPN_final_LLR.minus.score,0.6759259259259259
|
17 |
+
19,400,GPN_final_LLR.minus.score,0.9678472222222222
|
18 |
+
20,50,GPN_final_LLR.minus.score,0.8799999999999999
|
19 |
+
22,20,GPN_final_LLR.minus.score,0.75
|
20 |
+
X,500,GPN_final_LLR.minus.score,0.8263333333333333
|
mendelian_traits_matched_9/AUROC_by_chrom/all/GPN_final_absLLR.plus.score.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,GPN_final_absLLR.plus.score,0.5947341899722852
|
3 |
+
2,230,GPN_final_absLLR.plus.score,0.4543163201008192
|
4 |
+
3,310,GPN_final_absLLR.plus.score,0.5293675569429992
|
5 |
+
5,20,GPN_final_absLLR.plus.score,0.7222222222222222
|
6 |
+
6,30,GPN_final_absLLR.plus.score,0.5679012345679012
|
7 |
+
7,210,GPN_final_absLLR.plus.score,0.5553036029226506
|
8 |
+
8,70,GPN_final_absLLR.plus.score,0.45351473922902497
|
9 |
+
9,240,GPN_final_absLLR.plus.score,0.3647762345679012
|
10 |
+
10,190,GPN_final_absLLR.plus.score,0.4127423822714682
|
11 |
+
11,480,GPN_final_absLLR.plus.score,0.7282503858024691
|
12 |
+
12,30,GPN_final_absLLR.plus.score,0.7037037037037037
|
13 |
+
13,210,GPN_final_absLLR.plus.score,0.6050642479213909
|
14 |
+
14,40,GPN_final_absLLR.plus.score,0.6527777777777778
|
15 |
+
16,80,GPN_final_absLLR.plus.score,0.5711805555555556
|
16 |
+
17,60,GPN_final_absLLR.plus.score,0.845679012345679
|
17 |
+
19,400,GPN_final_absLLR.plus.score,0.943611111111111
|
18 |
+
20,50,GPN_final_absLLR.plus.score,0.8044444444444444
|
19 |
+
22,20,GPN_final_absLLR.plus.score,0.6388888888888888
|
20 |
+
X,500,GPN_final_absLLR.plus.score,0.7679777777777779
|
mendelian_traits_matched_9/AUROC_by_chrom/all/HyenaDNA.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,HyenaDNA.LogisticRegression.chrom,0.5487528344671202
|
3 |
+
2,230,HyenaDNA.LogisticRegression.chrom,0.7078344885528249
|
4 |
+
3,310,HyenaDNA.LogisticRegression.chrom,0.32535553243149495
|
5 |
+
5,20,HyenaDNA.LogisticRegression.chrom,0.2777777777777778
|
6 |
+
6,30,HyenaDNA.LogisticRegression.chrom,0.3703703703703704
|
7 |
+
7,210,HyenaDNA.LogisticRegression.chrom,0.691358024691358
|
8 |
+
8,70,HyenaDNA.LogisticRegression.chrom,0.4875283446712019
|
9 |
+
9,240,HyenaDNA.LogisticRegression.chrom,0.390625
|
10 |
+
10,190,HyenaDNA.LogisticRegression.chrom,0.5161588180978763
|
11 |
+
11,480,HyenaDNA.LogisticRegression.chrom,0.5751832561728395
|
12 |
+
12,30,HyenaDNA.LogisticRegression.chrom,0.4691358024691358
|
13 |
+
13,210,HyenaDNA.LogisticRegression.chrom,0.5875535399344923
|
14 |
+
14,40,HyenaDNA.LogisticRegression.chrom,0.4375
|
15 |
+
16,80,HyenaDNA.LogisticRegression.chrom,0.7569444444444444
|
16 |
+
17,60,HyenaDNA.LogisticRegression.chrom,0.5432098765432098
|
17 |
+
19,400,HyenaDNA.LogisticRegression.chrom,0.6926388888888888
|
18 |
+
20,50,HyenaDNA.LogisticRegression.chrom,0.5422222222222222
|
19 |
+
22,20,HyenaDNA.LogisticRegression.chrom,0.3888888888888889
|
20 |
+
X,500,HyenaDNA.LogisticRegression.chrom,0.6574222222222222
|
mendelian_traits_matched_9/AUROC_by_chrom/all/HyenaDNA_Embeddings.minus.inner_product.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,HyenaDNA_Embeddings.minus.inner_product,0.4857646762408667
|
3 |
+
2,230,HyenaDNA_Embeddings.minus.inner_product,0.8844780508296577
|
4 |
+
3,310,HyenaDNA_Embeddings.minus.inner_product,0.23043126372991096
|
5 |
+
5,20,HyenaDNA_Embeddings.minus.inner_product,0.3333333333333333
|
6 |
+
6,30,HyenaDNA_Embeddings.minus.inner_product,0.8518518518518519
|
7 |
+
7,210,HyenaDNA_Embeddings.minus.inner_product,0.8097757621567145
|
8 |
+
8,70,HyenaDNA_Embeddings.minus.inner_product,0.6349206349206349
|
9 |
+
9,240,HyenaDNA_Embeddings.minus.inner_product,0.7731481481481481
|
10 |
+
10,190,HyenaDNA_Embeddings.minus.inner_product,0.6023391812865497
|
11 |
+
11,480,HyenaDNA_Embeddings.minus.inner_product,0.4444444444444444
|
12 |
+
12,30,HyenaDNA_Embeddings.minus.inner_product,0.5432098765432098
|
13 |
+
13,210,HyenaDNA_Embeddings.minus.inner_product,0.6792642983119174
|
14 |
+
14,40,HyenaDNA_Embeddings.minus.inner_product,0.45833333333333337
|
15 |
+
16,80,HyenaDNA_Embeddings.minus.inner_product,0.7100694444444444
|
16 |
+
17,60,HyenaDNA_Embeddings.minus.inner_product,0.3734567901234568
|
17 |
+
19,400,HyenaDNA_Embeddings.minus.inner_product,0.6951388888888889
|
18 |
+
20,50,HyenaDNA_Embeddings.minus.inner_product,0.48
|
19 |
+
22,20,HyenaDNA_Embeddings.minus.inner_product,0.38888888888888884
|
20 |
+
X,500,HyenaDNA_Embeddings.minus.inner_product,0.5125777777777778
|
mendelian_traits_matched_9/AUROC_by_chrom/all/HyenaDNA_Embeddings.plus.cosine_distance.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,HyenaDNA_Embeddings.plus.cosine_distance,0.4454522549760645
|
3 |
+
2,230,HyenaDNA_Embeddings.plus.cosine_distance,0.5287754673387943
|
4 |
+
3,310,HyenaDNA_Embeddings.plus.cosine_distance,0.7141866111689212
|
5 |
+
5,20,HyenaDNA_Embeddings.plus.cosine_distance,0.7500000000000001
|
6 |
+
6,30,HyenaDNA_Embeddings.plus.cosine_distance,0.5
|
7 |
+
7,210,HyenaDNA_Embeddings.plus.cosine_distance,0.20685311161501638
|
8 |
+
8,70,HyenaDNA_Embeddings.plus.cosine_distance,0.30952380952380953
|
9 |
+
9,240,HyenaDNA_Embeddings.plus.cosine_distance,0.33034336419753085
|
10 |
+
10,190,HyenaDNA_Embeddings.plus.cosine_distance,0.6108033240997229
|
11 |
+
11,480,HyenaDNA_Embeddings.plus.cosine_distance,0.5827305169753086
|
12 |
+
12,30,HyenaDNA_Embeddings.plus.cosine_distance,0.2345679012345679
|
13 |
+
13,210,HyenaDNA_Embeddings.plus.cosine_distance,0.4241622574955908
|
14 |
+
14,40,HyenaDNA_Embeddings.plus.cosine_distance,0.5555555555555556
|
15 |
+
16,80,HyenaDNA_Embeddings.plus.cosine_distance,0.265625
|
16 |
+
17,60,HyenaDNA_Embeddings.plus.cosine_distance,0.44907407407407407
|
17 |
+
19,400,HyenaDNA_Embeddings.plus.cosine_distance,0.3465625
|
18 |
+
20,50,HyenaDNA_Embeddings.plus.cosine_distance,0.5777777777777778
|
19 |
+
22,20,HyenaDNA_Embeddings.plus.cosine_distance,0.2777777777777778
|
20 |
+
X,500,HyenaDNA_Embeddings.plus.cosine_distance,0.5174222222222222
|
mendelian_traits_matched_9/AUROC_by_chrom/all/HyenaDNA_Embeddings.plus.euclidean_distance.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,HyenaDNA_Embeddings.plus.euclidean_distance,0.4525069286974049
|
3 |
+
2,230,HyenaDNA_Embeddings.plus.euclidean_distance,0.5091367359798361
|
4 |
+
3,310,HyenaDNA_Embeddings.plus.euclidean_distance,0.7280610475199445
|
5 |
+
5,20,HyenaDNA_Embeddings.plus.euclidean_distance,0.7500000000000001
|
6 |
+
6,30,HyenaDNA_Embeddings.plus.euclidean_distance,0.4567901234567901
|
7 |
+
7,210,HyenaDNA_Embeddings.plus.euclidean_distance,0.20256991685563114
|
8 |
+
8,70,HyenaDNA_Embeddings.plus.euclidean_distance,0.30612244897959184
|
9 |
+
9,240,HyenaDNA_Embeddings.plus.euclidean_distance,0.328125
|
10 |
+
10,190,HyenaDNA_Embeddings.plus.euclidean_distance,0.6038781163434903
|
11 |
+
11,480,HyenaDNA_Embeddings.plus.euclidean_distance,0.583960262345679
|
12 |
+
12,30,HyenaDNA_Embeddings.plus.euclidean_distance,0.2345679012345679
|
13 |
+
13,210,HyenaDNA_Embeddings.plus.euclidean_distance,0.42277651801461325
|
14 |
+
14,40,HyenaDNA_Embeddings.plus.euclidean_distance,0.5625
|
15 |
+
16,80,HyenaDNA_Embeddings.plus.euclidean_distance,0.2621527777777778
|
16 |
+
17,60,HyenaDNA_Embeddings.plus.euclidean_distance,0.44753086419753085
|
17 |
+
19,400,HyenaDNA_Embeddings.plus.euclidean_distance,0.3395833333333333
|
18 |
+
20,50,HyenaDNA_Embeddings.plus.euclidean_distance,0.5733333333333334
|
19 |
+
22,20,HyenaDNA_Embeddings.plus.euclidean_distance,0.2777777777777778
|
20 |
+
X,500,HyenaDNA_Embeddings.plus.euclidean_distance,0.5195555555555555
|
mendelian_traits_matched_9/AUROC_by_chrom/all/HyenaDNA_LLR.minus.score.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,HyenaDNA_LLR.minus.score,0.4896699420508944
|
3 |
+
2,230,HyenaDNA_LLR.minus.score,0.4726948120142827
|
4 |
+
3,310,HyenaDNA_LLR.minus.score,0.6414036304775119
|
5 |
+
5,20,HyenaDNA_LLR.minus.score,0.3888888888888889
|
6 |
+
6,30,HyenaDNA_LLR.minus.score,0.30864197530864196
|
7 |
+
7,210,HyenaDNA_LLR.minus.score,0.6199294532627866
|
8 |
+
8,70,HyenaDNA_LLR.minus.score,0.5317460317460316
|
9 |
+
9,240,HyenaDNA_LLR.minus.score,0.4617091049382716
|
10 |
+
10,190,HyenaDNA_LLR.minus.score,0.5160049245921823
|
11 |
+
11,480,HyenaDNA_LLR.minus.score,0.4889322916666667
|
12 |
+
12,30,HyenaDNA_LLR.minus.score,0.48148148148148145
|
13 |
+
13,210,HyenaDNA_LLR.minus.score,0.5593348450491308
|
14 |
+
14,40,HyenaDNA_LLR.minus.score,0.5347222222222222
|
15 |
+
16,80,HyenaDNA_LLR.minus.score,0.4114583333333333
|
16 |
+
17,60,HyenaDNA_LLR.minus.score,0.42901234567901236
|
17 |
+
19,400,HyenaDNA_LLR.minus.score,0.49538194444444444
|
18 |
+
20,50,HyenaDNA_LLR.minus.score,0.48444444444444446
|
19 |
+
22,20,HyenaDNA_LLR.minus.score,0.3055555555555556
|
20 |
+
X,500,HyenaDNA_LLR.minus.score,0.5074444444444445
|
mendelian_traits_matched_9/AUROC_by_chrom/all/HyenaDNA_absLLR.plus.score.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,HyenaDNA_absLLR.plus.score,0.5381708238851096
|
3 |
+
2,230,HyenaDNA_absLLR.plus.score,0.4154589371980676
|
4 |
+
3,310,HyenaDNA_absLLR.plus.score,0.4721933171464909
|
5 |
+
5,20,HyenaDNA_absLLR.plus.score,0.05555555555555558
|
6 |
+
6,30,HyenaDNA_absLLR.plus.score,0.4938271604938272
|
7 |
+
7,210,HyenaDNA_absLLR.plus.score,0.4821113630637439
|
8 |
+
8,70,HyenaDNA_absLLR.plus.score,0.37414965986394555
|
9 |
+
9,240,HyenaDNA_absLLR.plus.score,0.4735725308641976
|
10 |
+
10,190,HyenaDNA_absLLR.plus.score,0.44844567559249
|
11 |
+
11,480,HyenaDNA_absLLR.plus.score,0.4013310185185185
|
12 |
+
12,30,HyenaDNA_absLLR.plus.score,0.6296296296296297
|
13 |
+
13,210,HyenaDNA_absLLR.plus.score,0.5134794658604183
|
14 |
+
14,40,HyenaDNA_absLLR.plus.score,0.5347222222222222
|
15 |
+
16,80,HyenaDNA_absLLR.plus.score,0.3854166666666667
|
16 |
+
17,60,HyenaDNA_absLLR.plus.score,0.4475308641975309
|
17 |
+
19,400,HyenaDNA_absLLR.plus.score,0.47149305555555554
|
18 |
+
20,50,HyenaDNA_absLLR.plus.score,0.4933333333333333
|
19 |
+
22,20,HyenaDNA_absLLR.plus.score,0.5
|
20 |
+
X,500,HyenaDNA_absLLR.plus.score,0.5851333333333334
|
mendelian_traits_matched_9/AUROC_by_chrom/all/NucleotideTransformer.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,NucleotideTransformer.LogisticRegression.chrom,0.6389518770471152
|
3 |
+
2,230,NucleotideTransformer.LogisticRegression.chrom,0.7494223902541483
|
4 |
+
3,310,NucleotideTransformer.LogisticRegression.chrom,0.7731529656607701
|
5 |
+
5,20,NucleotideTransformer.LogisticRegression.chrom,0.5277777777777778
|
6 |
+
6,30,NucleotideTransformer.LogisticRegression.chrom,0.5432098765432098
|
7 |
+
7,210,NucleotideTransformer.LogisticRegression.chrom,0.6845553036029227
|
8 |
+
8,70,NucleotideTransformer.LogisticRegression.chrom,0.7845804988662131
|
9 |
+
9,240,NucleotideTransformer.LogisticRegression.chrom,0.1923225308641975
|
10 |
+
10,190,NucleotideTransformer.LogisticRegression.chrom,0.5426285010772546
|
11 |
+
11,480,NucleotideTransformer.LogisticRegression.chrom,0.6587577160493827
|
12 |
+
12,30,NucleotideTransformer.LogisticRegression.chrom,0.580246913580247
|
13 |
+
13,210,NucleotideTransformer.LogisticRegression.chrom,0.3867472915091963
|
14 |
+
14,40,NucleotideTransformer.LogisticRegression.chrom,0.75
|
15 |
+
16,80,NucleotideTransformer.LogisticRegression.chrom,0.5295138888888888
|
16 |
+
17,60,NucleotideTransformer.LogisticRegression.chrom,0.35493827160493824
|
17 |
+
19,400,NucleotideTransformer.LogisticRegression.chrom,0.8636805555555556
|
18 |
+
20,50,NucleotideTransformer.LogisticRegression.chrom,0.6666666666666667
|
19 |
+
22,20,NucleotideTransformer.LogisticRegression.chrom,0.41666666666666663
|
20 |
+
X,500,NucleotideTransformer.LogisticRegression.chrom,0.33497777777777776
|
mendelian_traits_matched_9/AUROC_by_chrom/all/NucleotideTransformer_Embeddings.minus.inner_product.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,NucleotideTransformer_Embeddings.minus.inner_product,0.5240614764424288
|
3 |
+
2,230,NucleotideTransformer_Embeddings.minus.inner_product,0.5939928586431422
|
4 |
+
3,310,NucleotideTransformer_Embeddings.minus.inner_product,0.5837669094693028
|
5 |
+
5,20,NucleotideTransformer_Embeddings.minus.inner_product,0.6388888888888888
|
6 |
+
6,30,NucleotideTransformer_Embeddings.minus.inner_product,0.4938271604938272
|
7 |
+
7,210,NucleotideTransformer_Embeddings.minus.inner_product,0.23129251700680273
|
8 |
+
8,70,NucleotideTransformer_Embeddings.minus.inner_product,0.8798185941043085
|
9 |
+
9,240,NucleotideTransformer_Embeddings.minus.inner_product,0.5852623456790124
|
10 |
+
10,190,NucleotideTransformer_Embeddings.minus.inner_product,0.46937519236688213
|
11 |
+
11,480,NucleotideTransformer_Embeddings.minus.inner_product,0.568287037037037
|
12 |
+
12,30,NucleotideTransformer_Embeddings.minus.inner_product,0.8271604938271605
|
13 |
+
13,210,NucleotideTransformer_Embeddings.minus.inner_product,0.6664147140337616
|
14 |
+
14,40,NucleotideTransformer_Embeddings.minus.inner_product,0.5625
|
15 |
+
16,80,NucleotideTransformer_Embeddings.minus.inner_product,0.4913194444444444
|
16 |
+
17,60,NucleotideTransformer_Embeddings.minus.inner_product,0.5987654320987654
|
17 |
+
19,400,NucleotideTransformer_Embeddings.minus.inner_product,0.7652083333333334
|
18 |
+
20,50,NucleotideTransformer_Embeddings.minus.inner_product,0.6577777777777778
|
19 |
+
22,20,NucleotideTransformer_Embeddings.minus.inner_product,0.8888888888888888
|
20 |
+
X,500,NucleotideTransformer_Embeddings.minus.inner_product,0.2858222222222222
|
mendelian_traits_matched_9/AUROC_by_chrom/all/NucleotideTransformer_Embeddings.plus.cosine_distance.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,NucleotideTransformer_Embeddings.plus.cosine_distance,0.564877802973041
|
3 |
+
2,230,NucleotideTransformer_Embeddings.plus.cosine_distance,0.8176853602184414
|
4 |
+
3,310,NucleotideTransformer_Embeddings.plus.cosine_distance,0.3299803445485027
|
5 |
+
5,20,NucleotideTransformer_Embeddings.plus.cosine_distance,0.8611111111111112
|
6 |
+
6,30,NucleotideTransformer_Embeddings.plus.cosine_distance,0.7777777777777778
|
7 |
+
7,210,NucleotideTransformer_Embeddings.plus.cosine_distance,0.6863189720332578
|
8 |
+
8,70,NucleotideTransformer_Embeddings.plus.cosine_distance,0.4512471655328798
|
9 |
+
9,240,NucleotideTransformer_Embeddings.plus.cosine_distance,0.5090663580246914
|
10 |
+
10,190,NucleotideTransformer_Embeddings.plus.cosine_distance,0.5823330255463219
|
11 |
+
11,480,NucleotideTransformer_Embeddings.plus.cosine_distance,0.7016059027777778
|
12 |
+
12,30,NucleotideTransformer_Embeddings.plus.cosine_distance,0.6666666666666667
|
13 |
+
13,210,NucleotideTransformer_Embeddings.plus.cosine_distance,0.519148400100781
|
14 |
+
14,40,NucleotideTransformer_Embeddings.plus.cosine_distance,0.6180555555555556
|
15 |
+
16,80,NucleotideTransformer_Embeddings.plus.cosine_distance,0.8611111111111112
|
16 |
+
17,60,NucleotideTransformer_Embeddings.plus.cosine_distance,0.5925925925925926
|
17 |
+
19,400,NucleotideTransformer_Embeddings.plus.cosine_distance,0.5736458333333333
|
18 |
+
20,50,NucleotideTransformer_Embeddings.plus.cosine_distance,0.6177777777777778
|
19 |
+
22,20,NucleotideTransformer_Embeddings.plus.cosine_distance,0.7777777777777778
|
20 |
+
X,500,NucleotideTransformer_Embeddings.plus.cosine_distance,0.7359333333333332
|
mendelian_traits_matched_9/AUROC_by_chrom/all/NucleotideTransformer_Embeddings.plus.euclidean_distance.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.564877802973041
|
3 |
+
2,230,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.8149548414198696
|
4 |
+
3,310,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.3287085212163256
|
5 |
+
5,20,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.8611111111111112
|
6 |
+
6,30,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.7654320987654321
|
7 |
+
7,210,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.6994205089443184
|
8 |
+
8,70,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.42176870748299317
|
9 |
+
9,240,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.5023148148148149
|
10 |
+
10,190,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.5841797476146506
|
11 |
+
11,480,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.6995081018518519
|
12 |
+
12,30,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.6666666666666667
|
13 |
+
13,210,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.5162509448223734
|
14 |
+
14,40,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.5972222222222222
|
15 |
+
16,80,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.8645833333333334
|
16 |
+
17,60,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.5833333333333333
|
17 |
+
19,400,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.5504861111111111
|
18 |
+
20,50,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.6088888888888889
|
19 |
+
22,20,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.7777777777777778
|
20 |
+
X,500,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.7382666666666666
|
mendelian_traits_matched_9/AUROC_by_chrom/all/NucleotideTransformer_LLR.minus.score.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,NucleotideTransformer_LLR.minus.score,0.5666414714033762
|
3 |
+
2,230,NucleotideTransformer_LLR.minus.score,0.6397815584961142
|
4 |
+
3,310,NucleotideTransformer_LLR.minus.score,0.6070065903572668
|
5 |
+
5,20,NucleotideTransformer_LLR.minus.score,0.05555555555555558
|
6 |
+
6,30,NucleotideTransformer_LLR.minus.score,0.5185185185185186
|
7 |
+
7,210,NucleotideTransformer_LLR.minus.score,0.4142101284958428
|
8 |
+
8,70,NucleotideTransformer_LLR.minus.score,0.34240362811791386
|
9 |
+
9,240,NucleotideTransformer_LLR.minus.score,0.5318287037037037
|
10 |
+
10,190,NucleotideTransformer_LLR.minus.score,0.5811018775007695
|
11 |
+
11,480,NucleotideTransformer_LLR.minus.score,0.5995852623456791
|
12 |
+
12,30,NucleotideTransformer_LLR.minus.score,0.5432098765432098
|
13 |
+
13,210,NucleotideTransformer_LLR.minus.score,0.5875535399344923
|
14 |
+
14,40,NucleotideTransformer_LLR.minus.score,0.3402777777777778
|
15 |
+
16,80,NucleotideTransformer_LLR.minus.score,0.4409722222222222
|
16 |
+
17,60,NucleotideTransformer_LLR.minus.score,0.5216049382716048
|
17 |
+
19,400,NucleotideTransformer_LLR.minus.score,0.5384027777777778
|
18 |
+
20,50,NucleotideTransformer_LLR.minus.score,0.4666666666666667
|
19 |
+
22,20,NucleotideTransformer_LLR.minus.score,0.33333333333333337
|
20 |
+
X,500,NucleotideTransformer_LLR.minus.score,0.46684444444444445
|
mendelian_traits_matched_9/AUROC_by_chrom/all/NucleotideTransformer_absLLR.plus.score.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,NucleotideTransformer_absLLR.plus.score,0.5714285714285714
|
3 |
+
2,230,NucleotideTransformer_absLLR.plus.score,0.40453686200378075
|
4 |
+
3,310,NucleotideTransformer_absLLR.plus.score,0.45531275291941264
|
5 |
+
5,20,NucleotideTransformer_absLLR.plus.score,0.4722222222222222
|
6 |
+
6,30,NucleotideTransformer_absLLR.plus.score,0.345679012345679
|
7 |
+
7,210,NucleotideTransformer_absLLR.plus.score,0.40312421264802223
|
8 |
+
8,70,NucleotideTransformer_absLLR.plus.score,0.29024943310657597
|
9 |
+
9,240,NucleotideTransformer_absLLR.plus.score,0.3472222222222222
|
10 |
+
10,190,NucleotideTransformer_absLLR.plus.score,0.3795013850415513
|
11 |
+
11,480,NucleotideTransformer_absLLR.plus.score,0.4986014660493827
|
12 |
+
12,30,NucleotideTransformer_absLLR.plus.score,0.5555555555555556
|
13 |
+
13,210,NucleotideTransformer_absLLR.plus.score,0.4464600655076846
|
14 |
+
14,40,NucleotideTransformer_absLLR.plus.score,0.4583333333333333
|
15 |
+
16,80,NucleotideTransformer_absLLR.plus.score,0.5850694444444444
|
16 |
+
17,60,NucleotideTransformer_absLLR.plus.score,0.654320987654321
|
17 |
+
19,400,NucleotideTransformer_absLLR.plus.score,0.3062152777777778
|
18 |
+
20,50,NucleotideTransformer_absLLR.plus.score,0.2933333333333334
|
19 |
+
22,20,NucleotideTransformer_absLLR.plus.score,0.0
|
20 |
+
X,500,NucleotideTransformer_absLLR.plus.score,0.44084444444444437
|
mendelian_traits_matched_9/AUROC_by_chrom/all/Sei.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,Sei.LogisticRegression.chrom,0.5374149659863945
|
3 |
+
2,230,Sei.LogisticRegression.chrom,0.7811384162990969
|
4 |
+
3,310,Sei.LogisticRegression.chrom,0.7227425135853857
|
5 |
+
5,20,Sei.LogisticRegression.chrom,0.75
|
6 |
+
6,30,Sei.LogisticRegression.chrom,0.5555555555555556
|
7 |
+
7,210,Sei.LogisticRegression.chrom,0.5051650289745528
|
8 |
+
8,70,Sei.LogisticRegression.chrom,0.48072562358276644
|
9 |
+
9,240,Sei.LogisticRegression.chrom,0.7918595679012346
|
10 |
+
10,190,Sei.LogisticRegression.chrom,0.6491228070175439
|
11 |
+
11,480,Sei.LogisticRegression.chrom,0.599633487654321
|
12 |
+
12,30,Sei.LogisticRegression.chrom,0.7160493827160493
|
13 |
+
13,210,Sei.LogisticRegression.chrom,0.7326782564877803
|
14 |
+
14,40,Sei.LogisticRegression.chrom,0.5416666666666666
|
15 |
+
16,80,Sei.LogisticRegression.chrom,0.3645833333333333
|
16 |
+
17,60,Sei.LogisticRegression.chrom,0.6296296296296295
|
17 |
+
19,400,Sei.LogisticRegression.chrom,0.614375
|
18 |
+
20,50,Sei.LogisticRegression.chrom,0.7733333333333334
|
19 |
+
22,20,Sei.LogisticRegression.chrom,0.8333333333333334
|
20 |
+
X,500,Sei.LogisticRegression.chrom,0.8018666666666667
|
mendelian_traits_matched_9/AUROC_by_chrom/all/Sei.plus.seqclass_max_absdiff.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUROC
|
2 |
+
1,210,Sei.plus.seqclass_max_absdiff,0.5381708238851096
|
3 |
+
2,230,Sei.plus.seqclass_max_absdiff,0.8596933417349296
|
4 |
+
3,310,Sei.plus.seqclass_max_absdiff,0.860908775580992
|
5 |
+
5,20,Sei.plus.seqclass_max_absdiff,0.5833333333333333
|
6 |
+
6,30,Sei.plus.seqclass_max_absdiff,0.5555555555555556
|
7 |
+
7,210,Sei.plus.seqclass_max_absdiff,0.7734945830183926
|
8 |
+
8,70,Sei.plus.seqclass_max_absdiff,0.6462585034013605
|
9 |
+
9,240,Sei.plus.seqclass_max_absdiff,0.8840663580246914
|
10 |
+
10,190,Sei.plus.seqclass_max_absdiff,0.7076023391812865
|
11 |
+
11,480,Sei.plus.seqclass_max_absdiff,0.6138117283950617
|
12 |
+
12,30,Sei.plus.seqclass_max_absdiff,0.8148148148148148
|
13 |
+
13,210,Sei.plus.seqclass_max_absdiff,0.7024439405391787
|
14 |
+
14,40,Sei.plus.seqclass_max_absdiff,0.2986111111111111
|
15 |
+
16,80,Sei.plus.seqclass_max_absdiff,0.607638888888889
|
16 |
+
17,60,Sei.plus.seqclass_max_absdiff,0.6635802469135802
|
17 |
+
19,400,Sei.plus.seqclass_max_absdiff,0.5368055555555555
|
18 |
+
20,50,Sei.plus.seqclass_max_absdiff,0.7422222222222222
|
19 |
+
22,20,Sei.plus.seqclass_max_absdiff,0.8055555555555556
|
20 |
+
X,500,Sei.plus.seqclass_max_absdiff,0.7644888888888889
|
mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/Borzoi.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
model,metric,score,se
|
2 |
+
Borzoi.LogisticRegression.chrom,AUROC,0.8065971866162441,0.021103589149458254
|
mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/CADD+Borzoi.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
model,metric,score,se
|
2 |
+
CADD+Borzoi.LogisticRegression.chrom,AUROC,0.8893582300725595,0.0192709349279206
|
mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,2 @@
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+
model,metric,score,se
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+
CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,AUROC,0.8934215272537339,0.016816618993044742
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mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/CADD+GPN-MSA.LogisticRegression.chrom.csv
ADDED
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+
model,metric,score,se
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+
CADD+GPN-MSA.LogisticRegression.chrom,AUROC,0.9473345796526276,0.015185041415705083
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mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/CADD.LogisticRegression.chrom.csv
ADDED
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+
model,metric,score,se
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CADD.LogisticRegression.chrom,AUROC,0.95856114498837,0.013203555700306433
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mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/CADD.plus.RawScore.csv
ADDED
@@ -0,0 +1,2 @@
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+
model,metric,score,se
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CADD.plus.RawScore,AUROC,0.8925850098264585,0.016053941096174962
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mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/Caduceus.LogisticRegression.chrom.csv
ADDED
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model,metric,score,se
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Caduceus.LogisticRegression.chrom,AUROC,0.5982808597501177,0.060088656273358895
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mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/Caduceus_Embeddings.minus.inner_product.csv
ADDED
@@ -0,0 +1,2 @@
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+
model,metric,score,se
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+
Caduceus_Embeddings.minus.inner_product,AUROC,0.5436272633468365,0.04965723922381773
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