{
  "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."
}