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motrpac_metadata.json

@@ -4,7 +4,7 @@
     "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": "2025-10-15T21:36:30.855476",
+  "download_timestamp": "2026-03-04T05:19:53.213511",
   "statistics": {
     "num_samples": 654,
     "num_features": 4976,
@@ -15,5 +15,5 @@
       }
     }
   },
-  "preprocessing_notes": "Data is log1p-transformed and adjusted for covariates (age, sex, bmi, race, vo2_baseline) using linear regression. Fits target ~ all_proteins + covariates, then adjusts proteins to remove covariate effects while preserving their relationship with the target."
+  "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."
 }