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# clinOracle team - tahoe-hack-2025
Predicting clinical outcomes from _in vitro_ transcriptional responses.
## Code
- `representations/` - scripts to train and transcriptome effect representations on Tahoe-100M
- `clinical_data_curation/` - scripts to curate clinical trial data
- `approval_prediction_benchmark.ipynb` - benchmark on clinical approval prediction
- `classifier.py` - Benchmarking classifier implementation
## Data
- `clinical_evidence_data/` - Curated clinical evidence data on Tahoe drugs
- `data_for_classifier/` - input data for benchmarks
- `data/` - misc processed data
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