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ajv012 commited on
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28cce50
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1 Parent(s): 6402fcc

add new task configs

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  1. available_splits.yaml +115 -49
  2. bc_therapy/er_status/config.yaml +12 -0
  3. bc_therapy/grade/config.yaml +12 -0
  4. bc_therapy/her2_status/config.yaml +12 -0
  5. bc_therapy/residual_cancer_burden/config.yaml +14 -0
  6. bracs/slidelevel_coarse/config.yaml +3 -3
  7. bracs/slidelevel_fine/config.yaml +8 -8
  8. cervical_subtype/subtype/config.yaml +14 -0
  9. cptac_all/organ/config.yaml +31 -0
  10. cptac_brca/Immune_class/config.yaml +15 -0
  11. cptac_ccrcc/Immune_class/config.yaml +15 -0
  12. cptac_ccrcc/VHL_mutation/config.yaml +12 -0
  13. cptac_ccrcc_dhmc/OncoTreeCode/config.yaml +15 -0
  14. cptac_coad/ACVR2A_mutation/config.yaml +12 -0
  15. cptac_coad/APC_mutation/config.yaml +12 -0
  16. cptac_coad/ARID1A_mutation/config.yaml +12 -0
  17. cptac_coad/Immune_class/config.yaml +15 -0
  18. cptac_coad/MSI_H/config.yaml +12 -0
  19. cptac_coad/PIK3CA_mutation/config.yaml +12 -0
  20. cptac_coad/SETD1B_mutation/config.yaml +12 -0
  21. cptac_gbm/Immune_class/config.yaml +15 -0
  22. cptac_hnsc/Histologic_Grade/config.yaml +13 -0
  23. cptac_hnsc/Immune_class/config.yaml +15 -0
  24. cptac_lscc/Histologic_Grade/config.yaml +12 -0
  25. cptac_lscc/Immune_class/config.yaml +15 -0
  26. cptac_luad/Immune_class/config.yaml +15 -0
  27. cptac_luad/KRAS_mutation/config.yaml +12 -0
  28. cptac_lung/subtype/config.yaml +12 -0
  29. cptac_ov/Immune_class/config.yaml +15 -0
  30. cptac_pda/Immune_class/config.yaml +15 -0
  31. cptac_ucec/CTNNB1_mutation/config.yaml +12 -0
  32. cptac_ucec/Immune_class/config.yaml +15 -0
  33. cptac_ucec/PTEN_mutation/config.yaml +12 -0
  34. crc_outcomes/OS_VALENTINO/config.yaml +23 -0
  35. crc_outcomes/PFS_VALENTINO/config.yaml +23 -0
  36. crc_outcomes/braf_grading/config.yaml +13 -0
  37. crc_outcomes/braf_lymphovas_invasion/config.yaml +12 -0
  38. crc_outcomes/braf_mmr/config.yaml +12 -0
  39. crc_outcomes/braf_synapto/config.yaml +12 -0
  40. crc_outcomes/braf_tils/config.yaml +12 -0
  41. crc_outcomes/valentino_molecular_subtype/config.yaml +12 -0
  42. crc_outcomes/valentino_msi/config.yaml +12 -0
  43. dhmc_luad/label/config.yaml +17 -0
  44. ebrains/diagnosis_group/config.yaml +2 -2
  45. ebrains/idh_status/config.yaml +14 -0
  46. hancook/OS_treatment_rdc/config.yaml +22 -0
  47. hancook/grading_SCC_Conventional_Keratinizing/config.yaml +12 -0
  48. hancook/grading_SCC_Conventional_NonKeratinizing/config.yaml +12 -0
  49. hancook/lymphovascular_invasion_L/config.yaml +12 -0
  50. hancook/perineural_invasion_Pn/config.yaml +12 -0
available_splits.yaml CHANGED
@@ -1,62 +1,128 @@
 
 
 
 
 
1
  bcnb:
2
- - er
3
- - pr
4
- - her2
5
- mut-het-rcc:
6
- - BAP1_mutation
7
- - PBRM1_mutation
8
- - SETD2_mutation
9
- imp:
10
- - grade
11
- panda:
12
- - isup_grade
 
13
  cptac_brca:
14
- - PIK3CA_mutation
15
- - TP53_mutation
 
16
  cptac_ccrcc:
17
- - BAP1_mutation
18
- - PBRM1_mutation
19
- - OS
 
 
 
 
20
  cptac_coad:
21
- - KRAS_mutation
22
- - TP53_mutation
 
 
 
 
 
 
 
23
  cptac_gbm:
24
- - EGFR_mutation
25
- - TP53_mutation
 
26
  cptac_hnsc:
27
- - CASP8_mutation
28
- - OS
 
 
29
  cptac_lscc:
30
- - KEAP1_mutation
31
- - ARID1A_mutation
 
 
32
  cptac_luad:
33
- - EGFR_mutation
34
- - STK11_mutation
35
- - TP53_mutation
36
- - OS
 
 
 
 
 
 
37
  cptac_pda:
38
- - SMAD4_mutation
39
- - OS
40
- bracs:
41
- - slidelevel_fine
42
- - slidelevel_coarse
 
 
 
 
 
 
 
 
 
 
 
 
 
 
43
  ebrains:
44
- - diagnosis
45
- - diagnosis_group
46
- ovarian:
47
- - response
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
48
  nadt:
49
- - response
50
  natbrca:
51
- - lymphovascular_invasion
 
 
 
 
52
  sr386_:
53
- - braf_mutant_binary
54
- - ras_mutant_binary
55
- - mmr_loss_binary
56
- - died_within_5_years
57
- - OS
58
- mbc_:
59
- - Recist
60
- - OS
61
- boehmk_:
62
- - PFS
 
1
+ bc_therapy:
2
+ - er_status
3
+ - grade
4
+ - her2_status
5
+ - residual_cancer_burden
6
  bcnb:
7
+ - er
8
+ - her2
9
+ - pr
10
+ boehmk_:
11
+ - PFS
12
+ bracs:
13
+ - slidelevel_coarse
14
+ - slidelevel_fine
15
+ cervical_subtype:
16
+ - subtype
17
+ cptac_all:
18
+ - organ
19
  cptac_brca:
20
+ - Immune_class
21
+ - PIK3CA_mutation
22
+ - TP53_mutation
23
  cptac_ccrcc:
24
+ - BAP1_mutation
25
+ - Immune_class
26
+ - OS
27
+ - PBRM1_mutation
28
+ - VHL_mutation
29
+ cptac_ccrcc_dhmc:
30
+ - OncoTreeCode
31
  cptac_coad:
32
+ - ACVR2A_mutation
33
+ - APC_mutation
34
+ - ARID1A_mutation
35
+ - Immune_class
36
+ - KRAS_mutation
37
+ - MSI_H
38
+ - PIK3CA_mutation
39
+ - SETD1B_mutation
40
+ - TP53_mutation
41
  cptac_gbm:
42
+ - EGFR_mutation
43
+ - Immune_class
44
+ - TP53_mutation
45
  cptac_hnsc:
46
+ - CASP8_mutation
47
+ - Histologic_Grade
48
+ - Immune_class
49
+ - OS
50
  cptac_lscc:
51
+ - ARID1A_mutation
52
+ - Histologic_Grade
53
+ - Immune_class
54
+ - KEAP1_mutation
55
  cptac_luad:
56
+ - EGFR_mutation
57
+ - Immune_class
58
+ - KRAS_mutation
59
+ - OS
60
+ - STK11_mutation
61
+ - TP53_mutation
62
+ cptac_lung:
63
+ - subtype
64
+ cptac_ov:
65
+ - Immune_class
66
  cptac_pda:
67
+ - Immune_class
68
+ - OS
69
+ - SMAD4_mutation
70
+ cptac_ucec:
71
+ - CTNNB1_mutation
72
+ - Immune_class
73
+ - PTEN_mutation
74
+ crc_outcomes:
75
+ - OS_VALENTINO
76
+ - PFS_VALENTINO
77
+ - braf_grading
78
+ - braf_lymphovas_invasion
79
+ - braf_mmr
80
+ - braf_synapto
81
+ - braf_tils
82
+ - valentino_molecular_subtype
83
+ - valentino_msi
84
+ dhmc_luad:
85
+ - label
86
  ebrains:
87
+ - diagnosis
88
+ - diagnosis_group
89
+ - idh_status
90
+ hancook:
91
+ - OS_treatment_rdc
92
+ - grading_SCC_Conventional_Keratinizing
93
+ - grading_SCC_Conventional_NonKeratinizing
94
+ - lymphovascular_invasion_L
95
+ - perineural_invasion_Pn
96
+ - primarily_metastasis
97
+ - primary_tumor_site
98
+ - vascular_invasion_V
99
+ herroi:
100
+ - response
101
+ imp:
102
+ - grade
103
+ mbc_:
104
+ - OS
105
+ - Recist
106
+ mut-het-rcc:
107
+ - BAP1_mutation
108
+ - PBRM1_mutation
109
+ - SETD2_mutation
110
  nadt:
111
+ - response
112
  natbrca:
113
+ - lymphovascular_invasion
114
+ ovarian:
115
+ - response
116
+ panda:
117
+ - isup_grade
118
  sr386_:
119
+ - OS
120
+ - braf_mutant_binary
121
+ - died_within_5_years
122
+ - mmr_loss_binary
123
+ - ras_mutant_binary
124
+ ucla_lung:
125
+ - progression_regression
126
+ visiomel:
127
+ - relapse_noprev_melanoma
128
+ - relapse_overall
bc_therapy/er_status/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - bc_therapy
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: negative
6
+ 1: positive
7
+ metrics:
8
+ - macro-ovr-auc
9
+ num_samples: 166
10
+ sample_col: case_id
11
+ task_col: er_status
12
+ task_type: classification
bc_therapy/grade/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - bc_therapy
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: 2
6
+ 1: 3
7
+ metrics:
8
+ - weighted_kappa
9
+ num_samples: 166
10
+ sample_col: case_id
11
+ task_col: grade
12
+ task_type: classification
bc_therapy/her2_status/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - bc_therapy
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: negative
6
+ 1: positive
7
+ metrics:
8
+ - macro-ovr-auc
9
+ num_samples: 166
10
+ sample_col: case_id
11
+ task_col: her2_status
12
+ task_type: classification
bc_therapy/residual_cancer_burden/config.yaml ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - bc_therapy
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: pCR
6
+ 1: RCB-I
7
+ 2: RCB-II
8
+ 3: RCB-III
9
+ metrics:
10
+ - bacc
11
+ num_samples: 159
12
+ sample_col: case_id
13
+ task_col: residual_cancer_burden
14
+ task_type: classification
bracs/slidelevel_coarse/config.yaml CHANGED
@@ -7,9 +7,9 @@ task_type: classification
7
  metrics:
8
  - bacc
9
  label_dict:
10
- 0: AT
11
- 1: BT
12
- 2: MT
13
 
14
  sample_col: slide_id
15
  num_samples: 547
 
7
  metrics:
8
  - bacc
9
  label_dict:
10
+ 0: Atypical tumor
11
+ 1: Benign tumor
12
+ 2: Malignant tumor
13
 
14
  sample_col: slide_id
15
  num_samples: 547
bracs/slidelevel_fine/config.yaml CHANGED
@@ -7,13 +7,13 @@ task_type: classification
7
  metrics:
8
  - bacc
9
  label_dict:
10
- 0: "ADH"
11
- 1: "DCIS"
12
- 2: "FEA"
13
- 3: "IC"
14
- 4: "N"
15
- 5: "PB"
16
- 6: "UDH"
17
 
18
  sample_col: slide_id
19
- num_samples: 547
 
7
  metrics:
8
  - bacc
9
  label_dict:
10
+ 0: Atypical ductal hyperplasia
11
+ 1: Ductal carcinoma in situ
12
+ 2: Flat epithelial atypia
13
+ 3: Invasive carcinoma
14
+ 4: Normal
15
+ 5: Pathological benign
16
+ 6: Usual ductal hyperplasia
17
 
18
  sample_col: slide_id
19
+ num_samples: 547
cervical_subtype/subtype/config.yaml ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cervical_subtype
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: Non-neoplastic (NNeo)
6
+ 1: Low-grade squamous intraepithelial lesion (LSIL)
7
+ 2: High-grade squamous intraepithelial lesion (HSIL)
8
+ 3: Non-representative (other)
9
+ metrics:
10
+ - macro-ovr-auc
11
+ num_samples: 599
12
+ sample_col: case_id # the task is slide level, but for easier access using case_id
13
+ task_col: subtype
14
+ task_type: classification
cptac_all/organ/config.yaml ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_brca
3
+ - cptac_ccrcc
4
+ - cptac_coad
5
+ - cptac_gbm
6
+ - cptac_hnsc
7
+ - cptac_lscc
8
+ - cptac_luad
9
+ - cptac_pda
10
+ - cptac_ov
11
+ - cptac_ucec
12
+
13
+ task_col: organ
14
+ extra_cols: [] # Extra columns to copy from raw metadata to split TSVs
15
+ task_type: classification
16
+ metrics:
17
+ - bacc
18
+ label_dict:
19
+ 0: Breast cancer (BRCA)
20
+ 1: Clear cell renal cell carcinoma (CCRCC)
21
+ 2: Colon adenocarcinoma (COAD)
22
+ 3: Glioblastoma (GBM)
23
+ 4: Head and neck squamous cell carcinoma (HNSC)
24
+ 5: Lung squamous cell carcinoma (LSCC)
25
+ 6: Lung adenocarcinoma (LUAD)
26
+ 7: Pancreatic ductal adenocarcinoma (PDA)
27
+ 8: Ovarian cancer (OV)
28
+ 9: Uterine corpus endometrial carcinoma (UCEC)
29
+
30
+ sample_col: slide_id
31
+ num_samples: 2154
cptac_brca/Immune_class/config.yaml ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_brca
3
+
4
+ task_col: Immune_class
5
+ extra_cols: [] # Extra columns to copy from raw metadata to split TSVs
6
+ task_type: classification
7
+ metrics:
8
+ - bacc
9
+ label_dict:
10
+ 0: low
11
+ 1: medium
12
+ 2: high
13
+
14
+ sample_col: case_id
15
+ num_samples: 103
cptac_ccrcc/Immune_class/config.yaml ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_ccrcc
3
+
4
+ task_col: Immune_class
5
+ extra_cols: [] # Extra columns to copy from raw metadata to split TSVs
6
+ task_type: classification
7
+ metrics:
8
+ - bacc
9
+ label_dict:
10
+ 0: low
11
+ 1: medium
12
+ 2: high
13
+
14
+ sample_col: case_id
15
+ num_samples: 103
cptac_ccrcc/VHL_mutation/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_ccrcc
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: negative
6
+ 1: positive
7
+ metrics:
8
+ - macro-ovr-auc
9
+ num_samples: 103
10
+ sample_col: case_id
11
+ task_col: VHL_mutation
12
+ task_type: classification
cptac_ccrcc_dhmc/OncoTreeCode/config.yaml ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_ccrcc_dhmc
3
+
4
+ task_col: OncoTreeCode
5
+ extra_cols: []
6
+ task_type: classification
7
+ metrics:
8
+ - bacc
9
+ label_dict:
10
+ 0: Clear cell renal cell carcinoma (CCRCC)
11
+ 1: Papillary renal cell carcinoma (PRCC)
12
+ 2: Chromophobe renal cell carcinoma (CHRCC)
13
+
14
+ sample_col: slide_id
15
+ num_samples: 871
cptac_coad/ACVR2A_mutation/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_coad
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: negative
6
+ 1: positive
7
+ metrics:
8
+ - macro-ovr-auc
9
+ num_samples: 94
10
+ sample_col: case_id
11
+ task_col: ACVR2A_mutation
12
+ task_type: classification
cptac_coad/APC_mutation/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_coad
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: negative
6
+ 1: positive
7
+ metrics:
8
+ - macro-ovr-auc
9
+ num_samples: 94
10
+ sample_col: case_id
11
+ task_col: APC_mutation
12
+ task_type: classification
cptac_coad/ARID1A_mutation/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_coad
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: negative
6
+ 1: positive
7
+ metrics:
8
+ - macro-ovr-auc
9
+ num_samples: 94
10
+ sample_col: case_id
11
+ task_col: ARID1A_mutation
12
+ task_type: classification
cptac_coad/Immune_class/config.yaml ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_coad
3
+
4
+ task_col: Immune_class
5
+ extra_cols: [] # Extra columns to copy from raw metadata to split TSVs
6
+ task_type: classification
7
+ metrics:
8
+ - bacc
9
+ label_dict:
10
+ 0: low
11
+ 1: medium
12
+ 2: high
13
+
14
+ sample_col: case_id
15
+ num_samples: 94
cptac_coad/MSI_H/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_coad
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: negative
6
+ 1: positive
7
+ metrics:
8
+ - macro-ovr-auc
9
+ num_samples: 93
10
+ sample_col: case_id
11
+ task_col: MSI_H
12
+ task_type: classification
cptac_coad/PIK3CA_mutation/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_coad
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: negative
6
+ 1: positive
7
+ metrics:
8
+ - macro-ovr-auc
9
+ num_samples: 94
10
+ sample_col: case_id
11
+ task_col: PIK3CA_mutation
12
+ task_type: classification
cptac_coad/SETD1B_mutation/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_coad
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: negative
6
+ 1: positive
7
+ metrics:
8
+ - macro-ovr-auc
9
+ num_samples: 94
10
+ sample_col: case_id
11
+ task_col: SETD1B_mutation
12
+ task_type: classification
cptac_gbm/Immune_class/config.yaml ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_gbm
3
+
4
+ task_col: Immune_class
5
+ extra_cols: [] # Extra columns to copy from raw metadata to split TSVs
6
+ task_type: classification
7
+ metrics:
8
+ - bacc
9
+ label_dict:
10
+ 0: low
11
+ 1: medium
12
+ 2: high
13
+
14
+ sample_col: case_id
15
+ num_samples: 99
cptac_hnsc/Histologic_Grade/config.yaml ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_hnsc
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: 1
6
+ 1: 2
7
+ 2: 3
8
+ metrics:
9
+ - weighted_kappa
10
+ num_samples: 107
11
+ sample_col: case_id
12
+ task_col: Histologic_Grade
13
+ task_type: classification
cptac_hnsc/Immune_class/config.yaml ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_hnsc
3
+
4
+ task_col: Immune_class
5
+ extra_cols: [] # Extra columns to copy from raw metadata to split TSVs
6
+ task_type: classification
7
+ metrics:
8
+ - bacc
9
+ label_dict:
10
+ 0: low
11
+ 1: medium
12
+ 2: high
13
+
14
+ sample_col: case_id
15
+ num_samples: 107
cptac_lscc/Histologic_Grade/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_lscc
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: Well differentiated
6
+ 1: Moderately differentiated
7
+ metrics:
8
+ - weighted_kappa
9
+ num_samples: 104
10
+ sample_col: case_id
11
+ task_col: Histologic_Grade
12
+ task_type: classification
cptac_lscc/Immune_class/config.yaml ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_lscc
3
+
4
+ task_col: Immune_class
5
+ extra_cols: [] # Extra columns to copy from raw metadata to split TSVs
6
+ task_type: classification
7
+ metrics:
8
+ - bacc
9
+ label_dict:
10
+ 0: low
11
+ 1: medium
12
+ 2: high
13
+
14
+ sample_col: case_id
15
+ num_samples: 108
cptac_luad/Immune_class/config.yaml ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_luad
3
+
4
+ task_col: Immune_class
5
+ extra_cols: [] # Extra columns to copy from raw metadata to split TSVs
6
+ task_type: classification
7
+ metrics:
8
+ - bacc
9
+ label_dict:
10
+ 0: low
11
+ 1: medium
12
+ 2: high
13
+
14
+ sample_col: case_id
15
+ num_samples: 108
cptac_luad/KRAS_mutation/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_luad
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: negative
6
+ 1: positive
7
+ metrics:
8
+ - macro-ovr-auc
9
+ num_samples: 102
10
+ sample_col: case_id
11
+ task_col: KRAS_mutation
12
+ task_type: classification
cptac_lung/subtype/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_lung
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: Lung adenocarcinoma (LUAD)
6
+ 1: Lung squamous cell carcinoma (LSCC)
7
+ metrics:
8
+ - macro-ovr-auc
9
+ num_samples: 206
10
+ sample_col: case_id
11
+ task_col: subtype
12
+ task_type: classification
cptac_ov/Immune_class/config.yaml ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_ov
3
+
4
+ task_col: Immune_class
5
+ extra_cols: [] # Extra columns to copy from raw metadata to split TSVs
6
+ task_type: classification
7
+ metrics:
8
+ - bacc
9
+ label_dict:
10
+ 0: low
11
+ 1: medium
12
+ 2: high
13
+
14
+ sample_col: case_id
15
+ num_samples: 51
cptac_pda/Immune_class/config.yaml ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_pda
3
+
4
+ task_col: Immune_class
5
+ extra_cols: [] # Extra columns to copy from raw metadata to split TSVs
6
+ task_type: classification
7
+ metrics:
8
+ - bacc
9
+ label_dict:
10
+ 0: low
11
+ 1: medium
12
+ 2: high
13
+
14
+ sample_col: case_id
15
+ num_samples: 105
cptac_ucec/CTNNB1_mutation/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_ucec
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: negative
6
+ 1: positive
7
+ metrics:
8
+ - macro-ovr-auc
9
+ num_samples: 93
10
+ sample_col: case_id
11
+ task_col: CTNNB1_mutation
12
+ task_type: classification
cptac_ucec/Immune_class/config.yaml ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_ucec
3
+
4
+ task_col: Immune_class
5
+ extra_cols: [] # Extra columns to copy from raw metadata to split TSVs
6
+ task_type: classification
7
+ metrics:
8
+ - bacc
9
+ label_dict:
10
+ 0: low
11
+ 1: medium
12
+ 2: high
13
+
14
+ sample_col: case_id
15
+ num_samples: 94
cptac_ucec/PTEN_mutation/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - cptac_ucec
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: negative
6
+ 1: positive
7
+ metrics:
8
+ - macro-ovr-auc
9
+ num_samples: 93
10
+ sample_col: case_id
11
+ task_col: PTEN_mutation
12
+ task_type: classification
crc_outcomes/OS_VALENTINO/config.yaml ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - crc_outcomes
3
+
4
+ extra_cols:
5
+ - OS_VALENTINO_event
6
+ - OS_VALENTINO_days
7
+
8
+ label_dict:
9
+ 0: Quartile 1, Event 0
10
+ 1: Quartile 2, Event 0
11
+ 2: Quartile 3, Event 0
12
+ 3: Quartile 4, Event 0
13
+ 4: Quartile 1, Event 1
14
+ 5: Quartile 2, Event 1
15
+ 6: Quartile 3, Event 1
16
+ 7: Quartile 4, Event 1
17
+
18
+ metrics:
19
+ - cindex
20
+ num_samples: 170
21
+ sample_col: case_id
22
+ task_col: OS_VALENTINO
23
+ task_type: survival
crc_outcomes/PFS_VALENTINO/config.yaml ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - crc_outcomes
3
+
4
+ extra_cols:
5
+ - PFS_VALENTINO_event
6
+ - PFS_VALENTINO_days
7
+
8
+ label_dict:
9
+ 0: Quartile 1, Event 0
10
+ 1: Quartile 2, Event 0
11
+ 2: Quartile 3, Event 0
12
+ 3: Quartile 4, Event 0
13
+ 4: Quartile 1, Event 1
14
+ 5: Quartile 2, Event 1
15
+ 6: Quartile 3, Event 1
16
+ 7: Quartile 4, Event 1
17
+
18
+ metrics:
19
+ - cindex
20
+ num_samples: 170
21
+ sample_col: case_id
22
+ task_col: PFS_VALENTINO
23
+ task_type: survival
crc_outcomes/braf_grading/config.yaml ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - crc_outcomes
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: Low
6
+ 1: Medium
7
+ 2: High
8
+ metrics:
9
+ - weighted_kappa
10
+ num_samples: 134
11
+ sample_col: case_id
12
+ task_col: braf_grading
13
+ task_type: classification
crc_outcomes/braf_lymphovas_invasion/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - crc_outcomes
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: low grade
6
+ 1: high grade
7
+ metrics:
8
+ - macro-ovr-auc
9
+ num_samples: 111
10
+ sample_col: case_id
11
+ task_col: braf_lymphovas_invasion
12
+ task_type: classification
crc_outcomes/braf_mmr/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - crc_outcomes
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: low grade
6
+ 1: high grade
7
+ metrics:
8
+ - macro-ovr-auc
9
+ num_samples: 135
10
+ sample_col: case_id
11
+ task_col: braf_mmr
12
+ task_type: classification
crc_outcomes/braf_synapto/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - crc_outcomes
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: low grade
6
+ 1: high grade
7
+ metrics:
8
+ - macro-ovr-auc
9
+ num_samples: 135
10
+ sample_col: case_id
11
+ task_col: braf_synapto
12
+ task_type: classification
crc_outcomes/braf_tils/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - crc_outcomes
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: low grade
6
+ 1: high grade
7
+ metrics:
8
+ - macro-ovr-auc
9
+ num_samples: 135
10
+ sample_col: case_id
11
+ task_col: braf_tils
12
+ task_type: classification
crc_outcomes/valentino_molecular_subtype/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - crc_outcome
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: no RAS/BRAF
6
+ 1: RAS/BRAF
7
+ metrics:
8
+ - macro-ovr-auc
9
+ num_samples: 96
10
+ sample_col: case_id
11
+ task_col: valentino_molecular_subtype
12
+ task_type: classification
crc_outcomes/valentino_msi/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - crc_outcome
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: No MSI
6
+ 1: MSI
7
+ metrics:
8
+ - macro-ovr-auc
9
+ num_samples: 136
10
+ sample_col: case_id
11
+ task_col: valentino_msi
12
+ task_type: classification
dhmc_luad/label/config.yaml ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - dhmc_luad
3
+
4
+ task_col: label
5
+ extra_cols: []
6
+ task_type: classification
7
+ metrics:
8
+ - bacc
9
+ label_dict:
10
+ 0: Acinar
11
+ 1: Lepidic
12
+ 2: Micropapillary
13
+ 3: Papillary
14
+ 4: Solid
15
+
16
+ sample_col: slide_id
17
+ num_samples: 143
ebrains/diagnosis_group/config.yaml CHANGED
@@ -15,10 +15,10 @@ label_dict:
15
  5: "Circumscribed astrocytic gliomas"
16
  6: "Cranial and paraspinal nerve tumours"
17
  7: "Paediatric-type diffuse low-grade gliomas "
18
- 8: "Ependymal Tumours"
19
  9: "Metastatic tumours"
20
  10: "Haematolymphoid tumours involving the CNS"
21
- 11: "Embryonal Tumors"
22
 
23
  sample_col: slide_id
24
  num_samples: 2319
 
15
  5: "Circumscribed astrocytic gliomas"
16
  6: "Cranial and paraspinal nerve tumours"
17
  7: "Paediatric-type diffuse low-grade gliomas "
18
+ 8: "Ependymal tumours"
19
  9: "Metastatic tumours"
20
  10: "Haematolymphoid tumours involving the CNS"
21
+ 11: "Embryonal tumours"
22
 
23
  sample_col: slide_id
24
  num_samples: 2319
ebrains/idh_status/config.yaml ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - ebrains
3
+
4
+ task_col: idh_status
5
+ extra_cols: []
6
+ task_type: classification
7
+ metrics:
8
+ - macro-ovr-auc
9
+ label_dict:
10
+ 0: wildtype
11
+ 1: mutant
12
+
13
+ sample_col: slide_id
14
+ num_samples: 848
hancook/OS_treatment_rdc/config.yaml ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - hancook
3
+
4
+ extra_cols:
5
+ - OS_treatment_rdc_event
6
+ - OS_treatment_rdc_days
7
+
8
+ label_dict:
9
+ 0: Quartile 1, Event 0
10
+ 1: Quartile 2, Event 0
11
+ 2: Quartile 3, Event 0
12
+ 3: Quartile 4, Event 0
13
+ 4: Quartile 1, Event 1
14
+ 5: Quartile 2, Event 1
15
+ 6: Quartile 3, Event 1
16
+ 7: Quartile 4, Event 1
17
+ metrics:
18
+ - cindex
19
+ num_samples: 203
20
+ sample_col: case_id
21
+ task_col: OS_treatment_rdc
22
+ task_type: survival
hancook/grading_SCC_Conventional_Keratinizing/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - hancook
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: 2
6
+ 1: 3
7
+ metrics:
8
+ - weighted_kappa
9
+ num_samples: 383
10
+ sample_col: case_id
11
+ task_col: grading_SCC_Conventional_Keratinizing
12
+ task_type: classification
hancook/grading_SCC_Conventional_NonKeratinizing/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - hancook
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: 2
6
+ 1: 3
7
+ metrics:
8
+ - weighted_kappa
9
+ num_samples: 74
10
+ sample_col: case_id
11
+ task_col: grading_SCC_Conventional_NonKeratinizing
12
+ task_type: classification
hancook/lymphovascular_invasion_L/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - hancook
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: negative
6
+ 1: positive
7
+ metrics:
8
+ - macro-ovr-auc
9
+ num_samples: 697
10
+ sample_col: case_id
11
+ task_col: lymphovascular_invasion_L
12
+ task_type: classification
hancook/perineural_invasion_Pn/config.yaml ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ datasets:
2
+ - hancook
3
+ extra_cols: []
4
+ label_dict:
5
+ 0: negative
6
+ 1: positive
7
+ metrics:
8
+ - macro-ovr-auc
9
+ num_samples: 697
10
+ sample_col: case_id
11
+ task_col: perineural_invasion_Pn
12
+ task_type: classification