Datasets:
Formats:
parquet
Languages:
English
Size:
10M - 100M
Tags:
biology
chemistry
drug-discovery
clinical-trials
protein-protein-interaction
gene-essentiality
License:
File size: 1,472 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 | #!/usr/bin/env python
"""Load HuRI Y2H-derived negative pairs into PPI database (Gold tier)."""
import argparse
from pathlib import Path
_PROJECT_ROOT = Path(__file__).resolve().parent.parent
def main():
parser = argparse.ArgumentParser(
description="Load HuRI Y2H-derived 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="HuRI data directory"
)
parser.add_argument(
"--max-pairs", type=int, default=None,
help="Max negative pairs (default: no limit for Gold)",
)
parser.add_argument(
"--ppi-file", type=str, default=None,
help="HuRI PPI filename (default: HI-union.tsv)",
)
parser.add_argument(
"--orfeome-file", type=str, default=None,
help="ORFeome gene list filename",
)
args = parser.parse_args()
from negbiodb_ppi.etl_huri import run_huri_etl
kwargs = {
"db_path": args.db_path,
"data_dir": args.data_dir,
"max_pairs": args.max_pairs,
}
if args.ppi_file is not None:
kwargs["ppi_file"] = args.ppi_file
if args.orfeome_file is not None:
kwargs["orfeome_file"] = args.orfeome_file
stats = run_huri_etl(**kwargs)
print("\nHuRI ETL complete:")
for k, v in stats.items():
print(f" {k}: {v:,}")
if __name__ == "__main__":
main()
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