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Add smoking (GSE50660) dataset - #130

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cornelislouisa merged 4 commits into
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louisa/smoking-dataset-clean
Sep 11, 2026
Merged

Add smoking (GSE50660) dataset#130
cornelislouisa merged 4 commits into
mainfrom
louisa/smoking-dataset-clean

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@cornelislouisa

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Summary

  • Add the GSE50660 DNA methylation processor and Hydra dataset config for never- versus ever-smoker classification.
  • Add the smoking download command, README documentation, and smoking-specific WGCNA grid-search thresholds.
  • Correct class weights to match the current HuggingFace targets.

This is stacked on #128 because smoking and tuberculosis share the same HuggingFace revision and download CLI. Unrelated notebooks, experiment fixes, and later k-fold changes from #122 are excluded.

Test plan

  • pytest tests/data/test_dataset_config_consistency.py (28 passed)
  • python scripts/download_datasets.py --help lists both smoking and tuberculosis commands
  • Pre-commit hooks pass

cornelislouisa and others added 3 commits September 11, 2026 09:09
Introduce the processor, dataset config, STRING species plumbing, and grid-search
thresholds, and point the HuggingFace revision at the snapshot that contains the
tuberculosis files. Smoking and k-fold changes are left out of this branch.

Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
Introduce the processor, dataset config, download command, documentation, and
WGCNA grid-search thresholds for never- versus ever-smoker classification.
Keep later k-fold and unrelated experiment changes out of this branch.

Co-authored-by: Cursor <cursoragent@cursor.com>
@cornelislouisa
cornelislouisa force-pushed the louisa/tuberculosis-dataset branch from 3242b95 to 48512d9 Compare September 11, 2026 17:50
Base automatically changed from louisa/tuberculosis-dataset to main September 11, 2026 17:53
@cornelislouisa
cornelislouisa merged commit 22c3882 into main Sep 11, 2026
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@cornelislouisa
cornelislouisa deleted the louisa/smoking-dataset-clean branch September 11, 2026 18:04
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2 participants