gonzalobenegas commited on
Commit
a4caffc
·
verified ·
1 Parent(s): 0dc9209

Add files using upload-large-folder tool

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. mendelian_traits_matched_9/AUROC_by_chrom/all/Borzoi.LogisticRegression.chrom.csv +20 -0
  2. mendelian_traits_matched_9/AUROC_by_chrom/all/Borzoi_L2_L2.plus.all.csv +20 -0
  3. mendelian_traits_matched_9/AUROC_by_chrom/all/CADD+Borzoi.LogisticRegression.chrom.csv +20 -0
  4. mendelian_traits_matched_9/AUROC_by_chrom/all/CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.csv +20 -0
  5. mendelian_traits_matched_9/AUROC_by_chrom/all/CADD+GPN-MSA.LogisticRegression.chrom.csv +20 -0
  6. mendelian_traits_matched_9/AUROC_by_chrom/all/CADD.LogisticRegression.chrom.csv +20 -0
  7. mendelian_traits_matched_9/AUROC_by_chrom/all/CADD.plus.RawScore.csv +20 -0
  8. mendelian_traits_matched_9/AUROC_by_chrom/all/Caduceus.LogisticRegression.chrom.csv +20 -0
  9. mendelian_traits_matched_9/AUROC_by_chrom/all/Caduceus_Embeddings.minus.inner_product.csv +20 -0
  10. mendelian_traits_matched_9/AUROC_by_chrom/all/Caduceus_Embeddings.plus.cosine_distance.csv +20 -0
  11. mendelian_traits_matched_9/AUROC_by_chrom/all/Caduceus_Embeddings.plus.euclidean_distance.csv +20 -0
  12. mendelian_traits_matched_9/AUROC_by_chrom/all/Caduceus_LLR.minus.score.csv +20 -0
  13. mendelian_traits_matched_9/AUROC_by_chrom/all/Caduceus_absLLR.plus.score.csv +20 -0
  14. mendelian_traits_matched_9/AUROC_by_chrom/all/Enformer.LogisticRegression.chrom.csv +20 -0
  15. mendelian_traits_matched_9/AUROC_by_chrom/all/Enformer_L2_L2.plus.all.csv +20 -0
  16. mendelian_traits_matched_9/AUROC_by_chrom/all/GPN-MSA+Borzoi.LogisticRegression.chrom.csv +20 -0
  17. mendelian_traits_matched_9/AUROC_by_chrom/all/GPN-MSA.LogisticRegression.chrom.csv +20 -0
  18. mendelian_traits_matched_9/AUROC_by_chrom/all/GPN-MSA_Embeddings.minus.inner_product.csv +20 -0
  19. mendelian_traits_matched_9/AUROC_by_chrom/all/GPN-MSA_Embeddings.plus.cosine_distance.csv +20 -0
  20. mendelian_traits_matched_9/AUROC_by_chrom/all/GPN-MSA_Embeddings.plus.euclidean_distance.csv +20 -0
  21. mendelian_traits_matched_9/AUROC_by_chrom/all/GPN-MSA_LLR.minus.score.csv +20 -0
  22. mendelian_traits_matched_9/AUROC_by_chrom/all/GPN-MSA_absLLR.plus.score.csv +20 -0
  23. mendelian_traits_matched_9/AUROC_by_chrom/all/GPN_final.LogisticRegression.chrom.csv +20 -0
  24. mendelian_traits_matched_9/AUROC_by_chrom/all/GPN_final_Embeddings.minus.inner_product.csv +20 -0
  25. mendelian_traits_matched_9/AUROC_by_chrom/all/GPN_final_Embeddings.plus.cosine_distance.csv +20 -0
  26. mendelian_traits_matched_9/AUROC_by_chrom/all/GPN_final_Embeddings.plus.euclidean_distance.csv +20 -0
  27. mendelian_traits_matched_9/AUROC_by_chrom/all/GPN_final_LLR.minus.score.csv +20 -0
  28. mendelian_traits_matched_9/AUROC_by_chrom/all/GPN_final_absLLR.plus.score.csv +20 -0
  29. mendelian_traits_matched_9/AUROC_by_chrom/all/HyenaDNA.LogisticRegression.chrom.csv +20 -0
  30. mendelian_traits_matched_9/AUROC_by_chrom/all/HyenaDNA_Embeddings.minus.inner_product.csv +20 -0
  31. mendelian_traits_matched_9/AUROC_by_chrom/all/HyenaDNA_Embeddings.plus.cosine_distance.csv +20 -0
  32. mendelian_traits_matched_9/AUROC_by_chrom/all/HyenaDNA_Embeddings.plus.euclidean_distance.csv +20 -0
  33. mendelian_traits_matched_9/AUROC_by_chrom/all/HyenaDNA_LLR.minus.score.csv +20 -0
  34. mendelian_traits_matched_9/AUROC_by_chrom/all/HyenaDNA_absLLR.plus.score.csv +20 -0
  35. mendelian_traits_matched_9/AUROC_by_chrom/all/NucleotideTransformer.LogisticRegression.chrom.csv +20 -0
  36. mendelian_traits_matched_9/AUROC_by_chrom/all/NucleotideTransformer_Embeddings.minus.inner_product.csv +20 -0
  37. mendelian_traits_matched_9/AUROC_by_chrom/all/NucleotideTransformer_Embeddings.plus.cosine_distance.csv +20 -0
  38. mendelian_traits_matched_9/AUROC_by_chrom/all/NucleotideTransformer_Embeddings.plus.euclidean_distance.csv +20 -0
  39. mendelian_traits_matched_9/AUROC_by_chrom/all/NucleotideTransformer_LLR.minus.score.csv +20 -0
  40. mendelian_traits_matched_9/AUROC_by_chrom/all/NucleotideTransformer_absLLR.plus.score.csv +20 -0
  41. mendelian_traits_matched_9/AUROC_by_chrom/all/Sei.LogisticRegression.chrom.csv +20 -0
  42. mendelian_traits_matched_9/AUROC_by_chrom/all/Sei.plus.seqclass_max_absdiff.csv +20 -0
  43. mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/Borzoi.LogisticRegression.chrom.csv +2 -0
  44. mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/CADD+Borzoi.LogisticRegression.chrom.csv +2 -0
  45. mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.csv +2 -0
  46. mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/CADD+GPN-MSA.LogisticRegression.chrom.csv +2 -0
  47. mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/CADD.LogisticRegression.chrom.csv +2 -0
  48. mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/CADD.plus.RawScore.csv +2 -0
  49. mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/Caduceus.LogisticRegression.chrom.csv +2 -0
  50. 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 ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ chrom,n,Model,AUROC
2
+ 1,210,Borzoi.LogisticRegression.chrom,0.781557067271353
3
+ 2,230,Borzoi.LogisticRegression.chrom,0.785549254358328
4
+ 3,310,Borzoi.LogisticRegression.chrom,0.9140941149265811
5
+ 5,20,Borzoi.LogisticRegression.chrom,0.2777777777777778
6
+ 6,30,Borzoi.LogisticRegression.chrom,0.9753086419753088
7
+ 7,210,Borzoi.LogisticRegression.chrom,0.7923910304862686
8
+ 8,70,Borzoi.LogisticRegression.chrom,0.7369614512471655
9
+ 9,240,Borzoi.LogisticRegression.chrom,0.8751929012345678
10
+ 10,190,Borzoi.LogisticRegression.chrom,0.7180670975684826
11
+ 11,480,Borzoi.LogisticRegression.chrom,0.8027102623456791
12
+ 12,30,Borzoi.LogisticRegression.chrom,0.7777777777777778
13
+ 13,210,Borzoi.LogisticRegression.chrom,0.5910808767951625
14
+ 14,40,Borzoi.LogisticRegression.chrom,0.5138888888888888
15
+ 16,80,Borzoi.LogisticRegression.chrom,0.9791666666666667
16
+ 17,60,Borzoi.LogisticRegression.chrom,0.7283950617283952
17
+ 19,400,Borzoi.LogisticRegression.chrom,0.8736111111111111
18
+ 20,50,Borzoi.LogisticRegression.chrom,0.9511111111111111
19
+ 22,20,Borzoi.LogisticRegression.chrom,1.0
20
+ X,500,Borzoi.LogisticRegression.chrom,0.8129777777777777
mendelian_traits_matched_9/AUROC_by_chrom/all/Borzoi_L2_L2.plus.all.csv ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ chrom,n,Model,AUROC
2
+ 1,210,Borzoi_L2_L2.plus.all,0.6608717561098514
3
+ 2,230,Borzoi_L2_L2.plus.all,0.7563537072043688
4
+ 3,310,Borzoi_L2_L2.plus.all,0.8363972713608511
5
+ 5,20,Borzoi_L2_L2.plus.all,0.6388888888888888
6
+ 6,30,Borzoi_L2_L2.plus.all,0.9876543209876544
7
+ 7,210,Borzoi_L2_L2.plus.all,0.6621315192743764
8
+ 8,70,Borzoi_L2_L2.plus.all,0.6757369614512472
9
+ 9,240,Borzoi_L2_L2.plus.all,0.8512731481481481
10
+ 10,190,Borzoi_L2_L2.plus.all,0.695906432748538
11
+ 11,480,Borzoi_L2_L2.plus.all,0.8355516975308642
12
+ 12,30,Borzoi_L2_L2.plus.all,0.7654320987654321
13
+ 13,210,Borzoi_L2_L2.plus.all,0.7588813303099018
14
+ 14,40,Borzoi_L2_L2.plus.all,0.4027777777777778
15
+ 16,80,Borzoi_L2_L2.plus.all,0.9045138888888888
16
+ 17,60,Borzoi_L2_L2.plus.all,0.8364197530864197
17
+ 19,400,Borzoi_L2_L2.plus.all,0.7103472222222222
18
+ 20,50,Borzoi_L2_L2.plus.all,0.8755555555555556
19
+ 22,20,Borzoi_L2_L2.plus.all,1.0
20
+ X,500,Borzoi_L2_L2.plus.all,0.8748888888888888
mendelian_traits_matched_9/AUROC_by_chrom/all/CADD+Borzoi.LogisticRegression.chrom.csv ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ chrom,n,Model,AUROC
2
+ 1,210,CADD+Borzoi.LogisticRegression.chrom,0.7928949357520786
3
+ 2,230,CADD+Borzoi.LogisticRegression.chrom,0.9374081075404327
4
+ 3,310,CADD+Borzoi.LogisticRegression.chrom,0.9416117470227773
5
+ 5,20,CADD+Borzoi.LogisticRegression.chrom,0.9444444444444444
6
+ 6,30,CADD+Borzoi.LogisticRegression.chrom,0.4814814814814815
7
+ 7,210,CADD+Borzoi.LogisticRegression.chrom,0.9556563366087175
8
+ 8,70,CADD+Borzoi.LogisticRegression.chrom,0.8503401360544217
9
+ 9,240,CADD+Borzoi.LogisticRegression.chrom,0.9637345679012346
10
+ 10,190,CADD+Borzoi.LogisticRegression.chrom,0.9458294859956909
11
+ 11,480,CADD+Borzoi.LogisticRegression.chrom,0.8029996141975307
12
+ 12,30,CADD+Borzoi.LogisticRegression.chrom,1.0
13
+ 13,210,CADD+Borzoi.LogisticRegression.chrom,0.9050138573948098
14
+ 14,40,CADD+Borzoi.LogisticRegression.chrom,0.7569444444444445
15
+ 16,80,CADD+Borzoi.LogisticRegression.chrom,0.9913194444444444
16
+ 17,60,CADD+Borzoi.LogisticRegression.chrom,0.8796296296296298
17
+ 19,400,CADD+Borzoi.LogisticRegression.chrom,0.9321527777777777
18
+ 20,50,CADD+Borzoi.LogisticRegression.chrom,0.9022222222222223
19
+ 22,20,CADD+Borzoi.LogisticRegression.chrom,1.0
20
+ X,500,CADD+Borzoi.LogisticRegression.chrom,0.8432888888888889
mendelian_traits_matched_9/AUROC_by_chrom/all/CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.csv ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ chrom,n,Model,AUROC
2
+ 1,210,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.781557067271353
3
+ 2,230,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.9533711405166981
4
+ 3,310,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.9714417851774771
5
+ 5,20,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.9166666666666666
6
+ 6,30,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.9259259259259259
7
+ 7,210,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.9695137314184933
8
+ 8,70,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.7936507936507935
9
+ 9,240,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.9710648148148148
10
+ 10,190,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.8827331486611265
11
+ 11,480,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.857494212962963
12
+ 12,30,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,1.0
13
+ 13,210,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.8997228521038045
14
+ 14,40,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.7708333333333334
15
+ 16,80,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,1.0
16
+ 17,60,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.8858024691358024
17
+ 19,400,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.8231944444444443
18
+ 20,50,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.9822222222222222
19
+ 22,20,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,1.0
20
+ X,500,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.8725333333333334
mendelian_traits_matched_9/AUROC_by_chrom/all/CADD+GPN-MSA.LogisticRegression.chrom.csv ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ chrom,n,Model,AUROC
2
+ 1,210,CADD+GPN-MSA.LogisticRegression.chrom,0.8586545729402872
3
+ 2,230,CADD+GPN-MSA.LogisticRegression.chrom,0.9838269271161522
4
+ 3,310,CADD+GPN-MSA.LogisticRegression.chrom,0.9826569545612209
5
+ 5,20,CADD+GPN-MSA.LogisticRegression.chrom,0.9444444444444444
6
+ 6,30,CADD+GPN-MSA.LogisticRegression.chrom,0.9012345679012346
7
+ 7,210,CADD+GPN-MSA.LogisticRegression.chrom,0.9894179894179894
8
+ 8,70,CADD+GPN-MSA.LogisticRegression.chrom,0.981859410430839
9
+ 9,240,CADD+GPN-MSA.LogisticRegression.chrom,0.9868827160493827
10
+ 10,190,CADD+GPN-MSA.LogisticRegression.chrom,0.891658971991382
11
+ 11,480,CADD+GPN-MSA.LogisticRegression.chrom,0.8785204475308641
12
+ 12,30,CADD+GPN-MSA.LogisticRegression.chrom,1.0
13
+ 13,210,CADD+GPN-MSA.LogisticRegression.chrom,0.8961955152431343
14
+ 14,40,CADD+GPN-MSA.LogisticRegression.chrom,0.798611111111111
15
+ 16,80,CADD+GPN-MSA.LogisticRegression.chrom,0.9722222222222222
16
+ 17,60,CADD+GPN-MSA.LogisticRegression.chrom,0.9722222222222223
17
+ 19,400,CADD+GPN-MSA.LogisticRegression.chrom,0.9956944444444444
18
+ 20,50,CADD+GPN-MSA.LogisticRegression.chrom,1.0
19
+ 22,20,CADD+GPN-MSA.LogisticRegression.chrom,1.0
20
+ X,500,CADD+GPN-MSA.LogisticRegression.chrom,0.9716888888888889
mendelian_traits_matched_9/AUROC_by_chrom/all/CADD.LogisticRegression.chrom.csv ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ chrom,n,Model,AUROC
2
+ 1,210,CADD.LogisticRegression.chrom,0.9027462836986646
3
+ 2,230,CADD.LogisticRegression.chrom,0.9947490023104391
4
+ 3,310,CADD.LogisticRegression.chrom,0.9968782518210197
5
+ 5,20,CADD.LogisticRegression.chrom,0.9444444444444444
6
+ 6,30,CADD.LogisticRegression.chrom,0.7901234567901234
7
+ 7,210,CADD.LogisticRegression.chrom,0.9934492315444696
8
+ 8,70,CADD.LogisticRegression.chrom,1.0
9
+ 9,240,CADD.LogisticRegression.chrom,0.9892939814814814
10
+ 10,190,CADD.LogisticRegression.chrom,0.9233610341643583
11
+ 11,480,CADD.LogisticRegression.chrom,0.8959780092592593
12
+ 12,30,CADD.LogisticRegression.chrom,1.0
13
+ 13,210,CADD.LogisticRegression.chrom,0.9387755102040816
14
+ 14,40,CADD.LogisticRegression.chrom,0.7013888888888888
15
+ 16,80,CADD.LogisticRegression.chrom,0.9305555555555556
16
+ 17,60,CADD.LogisticRegression.chrom,0.9506172839506173
17
+ 19,400,CADD.LogisticRegression.chrom,0.9948611111111111
18
+ 20,50,CADD.LogisticRegression.chrom,0.9955555555555555
19
+ 22,20,CADD.LogisticRegression.chrom,1.0
20
+ X,500,CADD.LogisticRegression.chrom,0.9879555555555556
mendelian_traits_matched_9/AUROC_by_chrom/all/CADD.plus.RawScore.csv ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ chrom,n,Model,AUROC
2
+ 1,210,CADD.plus.RawScore,0.7601410934744268
3
+ 2,230,CADD.plus.RawScore,0.9073724007561437
4
+ 3,310,CADD.plus.RawScore,0.9277373106717539
5
+ 5,20,CADD.plus.RawScore,0.5555555555555556
6
+ 6,30,CADD.plus.RawScore,0.49382716049382713
7
+ 7,210,CADD.plus.RawScore,0.9486016628873771
8
+ 8,70,CADD.plus.RawScore,0.7482993197278911
9
+ 9,240,CADD.plus.RawScore,0.9259259259259259
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
1
+ model,metric,score,se
2
+ CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,AUROC,0.8934215272537339,0.016816618993044742
mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/CADD+GPN-MSA.LogisticRegression.chrom.csv ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ model,metric,score,se
2
+ CADD+GPN-MSA.LogisticRegression.chrom,AUROC,0.9473345796526276,0.015185041415705083
mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/CADD.LogisticRegression.chrom.csv ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ model,metric,score,se
2
+ CADD.LogisticRegression.chrom,AUROC,0.95856114498837,0.013203555700306433
mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/CADD.plus.RawScore.csv ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ model,metric,score,se
2
+ CADD.plus.RawScore,AUROC,0.8925850098264585,0.016053941096174962
mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/Caduceus.LogisticRegression.chrom.csv ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ model,metric,score,se
2
+ Caduceus.LogisticRegression.chrom,AUROC,0.5982808597501177,0.060088656273358895
mendelian_traits_matched_9/AUROC_by_chrom_weighted_average/all/Caduceus_Embeddings.minus.inner_product.csv ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ model,metric,score,se
2
+ Caduceus_Embeddings.minus.inner_product,AUROC,0.5436272633468365,0.04965723922381773