Datasets:
Formats:
parquet
Languages:
English
Size:
10M - 100M
Tags:
biology
chemistry
drug-discovery
clinical-trials
protein-protein-interaction
gene-essentiality
License:
File size: 1,605 Bytes
6d1bbc7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | """Run outcome enrichment on NegBioDB-CT database.
Enriches existing trial_failure_results with quantitative outcomes
from AACT outcome_analyses and Shi & Du 2024 datasets.
Prerequisites:
- AACT data loaded + failure classification done
- Shi & Du downloads complete
Usage:
python scripts_ct/load_outcomes.py [--db DB_PATH] [--data-dir DIR]
"""
import argparse
import logging
from pathlib import Path
from negbiodb_ct.etl_outcomes import run_outcome_enrichment
from negbiodb_ct.ct_db import DEFAULT_CT_DB_PATH
def main():
parser = argparse.ArgumentParser(
description="Enrich failure results with quantitative outcomes"
)
parser.add_argument(
"--db", type=str, default=str(DEFAULT_CT_DB_PATH),
help="Path to CT database (default: data/negbiodb_ct.db)",
)
parser.add_argument(
"--data-dir", type=str, default=None,
help="AACT data directory (default: from config.yaml)",
)
parser.add_argument(
"--verbose", "-v", action="store_true",
help="Enable verbose logging",
)
args = parser.parse_args()
logging.basicConfig(
level=logging.DEBUG if args.verbose else logging.INFO,
format="%(asctime)s %(name)s %(levelname)s %(message)s",
)
data_dir = Path(args.data_dir) if args.data_dir else None
print("=== Outcome Enrichment Pipeline ===")
stats = run_outcome_enrichment(
db_path=Path(args.db),
data_dir=data_dir,
)
print("\n=== Results ===")
for k, v in stats.items():
print(f" {k}: {v}")
if __name__ == "__main__":
main()
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