Datasets:
Formats:
parquet
Languages:
English
Size:
10M - 100M
Tags:
biology
chemistry
drug-discovery
clinical-trials
protein-protein-interaction
gene-essentiality
License:
| #!/usr/bin/env python | |
| """Load STRING v12.0 zero-score negatives into PPI database (Bronze tier).""" | |
| import argparse | |
| from pathlib import Path | |
| _PROJECT_ROOT = Path(__file__).resolve().parent.parent | |
| def main(): | |
| parser = argparse.ArgumentParser( | |
| description="Load STRING zero-score negatives into PPI DB" | |
| ) | |
| parser.add_argument( | |
| "--db-path", type=str, default=None, help="PPI database path" | |
| ) | |
| parser.add_argument( | |
| "--data-dir", type=str, default=None, help="STRING data directory" | |
| ) | |
| parser.add_argument( | |
| "--min-degree", type=int, default=5, | |
| help="Minimum STRING degree for well-studied proteins (default: 5)", | |
| ) | |
| parser.add_argument( | |
| "--max-pairs", type=int, default=500_000, | |
| help="Maximum negative pairs (default: 500000)", | |
| ) | |
| args = parser.parse_args() | |
| from negbiodb_ppi.etl_string import run_string_etl | |
| stats = run_string_etl( | |
| db_path=args.db_path, | |
| data_dir=args.data_dir, | |
| min_degree=args.min_degree, | |
| max_pairs=args.max_pairs, | |
| ) | |
| print("\nSTRING ETL complete:") | |
| for k, v in stats.items(): | |
| print(f" {k}: {v:,}") | |
| if __name__ == "__main__": | |
| main() | |