Datasets:
| { | |
| "dataset_name": "motrpac", | |
| "download_urls": { | |
| "proteomics": "https://d1yw74buhe0ts0.cloudfront.net/static/motrpac-data-hub/publications/data/related-studies/heritage-proteomics/HERITAGE_proteomics_somalogic.xlsx", | |
| "analytes": "https://d1yw74buhe0ts0.cloudfront.net/static/motrpac-data-hub/publications/data/related-studies/heritage-proteomics/HERITAGE_somalogic_analytes.xlsx" | |
| }, | |
| "download_timestamp": "2026-03-25T23:10:01.924878", | |
| "statistics": { | |
| "num_samples": 654, | |
| "num_features": 4976, | |
| "target_stats": { | |
| "responder15": { | |
| "pos": 375, | |
| "neg": 279 | |
| } | |
| } | |
| }, | |
| "preprocessing_notes": "Data is log2-transformed and adjusted for covariates (age, sex, bmi, race) using linear regression. For each protein, fits protein ~ covariates, then adjusts to remove covariate effects centered at mean covariate values. This approach avoids using target labels, preventing data leakage." | |
| } |