| { |
| "READY": true, |
| "name": "cptac_survival", |
| "task": "binary", |
| "num_classes": 2, |
| "cat_idx": [], |
| "num_samples": 103, |
| "num_features": 12592, |
| "imbalance_ratio": 7.5833, |
| "description": "Sample-level binary classification task predicting survival status in CPTAC UCEC patients. Features are quantitative mass-spectrometry proteomics profiles (umich platform). Label: 'Survival status' (1 = dead, 0 = alive). Missing proteomic values are imputed with the per-protein column mean. Samples without a recorded survival status are excluded.", |
| "source": "CPTAC (Clinical Proteomic Tumor Analysis Consortium). Proteomics data from the UCEC (Uterine Corpus Endometrial Carcinoma) cohort, measured at University of Michigan (umich). Clinical labels from the MSSM (Icahn School of Medicine at Mount Sinai) annotation.", |
| "label": "Proteomics", |
| "sub_labels": [ |
| "Clinical" |
| ], |
| "split_strategy": "cv" |
| } |
