| # 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 | |