[d01132]: / bin / convert_to_BIRD_input.py

Download this file

72 lines (56 with data), 1.9 kB

 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
61
62
63
64
65
66
67
68
69
70
71
"""
Convert file to input format BIRD expects
BIRD requires that genes are in the format ENSG00000236743.1
"""
# Example file: https://raw.githubusercontent.com/WeiqiangZhou/BIRD/master/example/FPKM_data_matrix.txt
import os
import sys
import argparse
import logging
import numpy as np
import pandas as pd
import scanpy as sc
import anndata as ad
SRC_DIR = os.path.join(
os.path.dirname(os.path.dirname(os.path.abspath(__file__))), "babel"
)
assert os.path.isdir(SRC_DIR)
sys.path.append(SRC_DIR)
import adata_utils
import utils
logging.basicConfig(level=logging.INFO)
def build_parser():
"""Build CLI parser"""
parser = argparse.ArgumentParser()
parser.add_argument(
"input",
type=str,
help="Input file to convert. Should be of gene expression",
)
parser.add_argument("output_table_txt", type=str, help="File to write")
parser.add_argument(
"--transforms", default="", required=False, type=str, choices=["log1p", "exp"]
)
return parser
def main():
parser = build_parser()
args = parser.parse_args()
_, input_ext = os.path.splitext(args.input)
if input_ext == ".h5ad":
x = ad.read_h5ad(args.input)
elif input_ext == ".h5":
x = sc.read_10x_h5(args.input)
else:
raise ValueError(f"Unrecognized file extension: {args.input}")
logging.info(f"Read input: {x}")
logging.info("Reading gtf for gene name map")
gene_name_map = utils.read_gtf_gene_symbol_to_id()
# Tranpose because BIRD wants features x obs
x_df = pd.DataFrame(utils.ensure_arr(x.X), index=x.obs_names, columns=x.var_names).T
assert np.all(x_df.values >= 0.0)
x_df.index = [gene_name_map[g] for g in x_df.index]
# Write output (tab-separated table
logging.info(f"Writing output to {args.output_table_txt}")
x_df.to_csv(args.output_table_txt, sep="\t")
if __name__ == "__main__":
main()