I am having a problem when calculating the p-value using seekr_find_pval

[herrroaa84]

Hi All,

I am having a problem when calculating the p-value.

$ seekr_find_pval sig_lncrnas_canonical_transcript_cleaned.fa sig_lncrnas_canonical_transcript_cleaned.fa bkg_mean_4mers.npy bkg_std_4mers.npy 4 gencode_can_fitres.csv -ft npy -bf 1 -o test_pval -pb
ValueError: could not convert string to float: 'distribution_name'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/Users/tarekmohamed/miniconda3/envs/seekr/bin/seekr_find_pval", line 33, in
sys.exit(load_entry_point('seekr==2.0.2', 'console_scripts', 'seekr_find_pval')())
File "/Users/tarekmohamed/miniconda3/envs/seekr/lib/python3.9/site-packages/seekr/console_scripts.py", line 872, in console_find_pval
fitres = np.loadtxt(args.fitres_file, delimiter=',')
File "/Users/tarekmohamed/miniconda3/envs/seekr/lib/python3.9/site-packages/numpy/lib/_npyio_impl.py", line 1381, in loadtxt
arr = _read(fname, dtype=dtype, comment=comment, delimiter=delimiter,
File "/Users/tarekmohamed/miniconda3/envs/seekr/lib/python3.9/site-packages/numpy/lib/_npyio_impl.py", line 1021, in _read
arr = _load_from_filelike(
ValueError: could not convert string 'distribution_name' to float64 at row 0, column 1.

$ cat gencode_can_fitres.csv
distribution_name,D_statistics,params
lognorm,0.02236670458969922,"(np.float64(0.02620663026716849), np.float64(-6.1761915645512655), np.float64(6.174598641024815))"
gamma,0.023016711460486755,"(np.float64(501.3658967715155), np.float64(-3.626400786282508), np.float64(0.007233922842146263))"
norm,0.0249806206579285,"(np.float32(0.00052793795), np.float32(0.1619385))"
chi2,0.05239063968493046,"(np.float64(62.81230868170036), np.float64(-0.9532428797463333), np.float64(0.015111192519382463))"
cauchy,0.06263886749355999,"(np.float64(-0.0019749987722971693), np.float64(0.09064641310659288))"
exponpow,0.10212773445094676,"(np.float64(2.900542119062174), np.float64(-0.7262605229106045), np.float64(0.9179673480686319))"
rayleigh,0.29829641179105626,"(-0.7261708080773113, np.float32(0.5264576))"
uniform,0.3409449687646513,"(-0.7261621952056885, 1.6298305988311768)"
expon,0.4238617759842025,"(-0.7261621952056885, 0.7266901135444641)"
pareto,0.4245104572161462,"(np.float32(8456.321), np.float32(-6144.726), np.float32(6143.9995))"