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Hello, I encountered the following error when performing permutation, there is no output, but there it seems normal in the log file , I would like to know what is the cause of this?
The same data works properly when using cis_nominal mode.
thanks!
**ocessing phenotype 10391/10393^M processing phenotype 10392/10393WARNING: scipy.optimize.newton failed to converge (running scipy.optimize.minimize)
^M processing phenotype 10393/10393
Traceback (most recent call last):
File "/share/home/zhuyunfei/miniconda3/lib/python3.9/runpy.py", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/share/home/zhuyunfei/miniconda3/lib/python3.9/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/share/home/zhuyunfei/miniconda3/lib/python3.9/site-packages/tensorqtl/main.py", line 2, in
tensorqtl.main()
File "/share/home/zhuyunfei/miniconda3/lib/python3.9/site-packages/tensorqtl/tensorqtl.py", line 141, in main
calculate_qvalues(res_df, fdr=args.fdr, qvalue_lambda=args.qvalue_lambda, logger=logger)
File "/share/home/zhuyunfei/miniconda3/lib/python3.9/site-packages/tensorqtl/post.py", line 40, in calculate_qvalues
r = stats.pearsonr(res_df['pval_perm'], res_df['pval_beta'])[0]
File "/share/home/zhuyunfei/miniconda3/lib/python3.9/site-packages/scipy/stats/_stats_py.py", line 4455, in pearsonr
normym = linalg.norm(ym)
File "/share/home/zhuyunfei/miniconda3/lib/python3.9/site-packages/scipy/linalg/_misc.py", line 145, in norm
a = np.asarray_chkfinite(a)
File "/share/home/zhuyunfei/miniconda3/lib/python3.9/site-packages/numpy/lib/function_base.py", line 628, in asarray_chkfinite
raise ValueError(
ValueError: array must not contain infs or NaNs
WARNING: scipy.optimize.newton failed to converge (running scipy.optimize.minimize)
Time elapsed: 10.47 min
done.
writing output
Computing q-values
Number of phenotypes tested: 10393**
The text was updated successfully, but these errors were encountered:
Hello, I encountered the following error when performing permutation, there is no output, but there it seems normal in the log file , I would like to know what is the cause of this?
The same data works properly when using cis_nominal mode.
thanks!
**ocessing phenotype 10391/10393^M processing phenotype 10392/10393WARNING: scipy.optimize.newton failed to converge (running scipy.optimize.minimize)
^M processing phenotype 10393/10393
Traceback (most recent call last):
File "/share/home/zhuyunfei/miniconda3/lib/python3.9/runpy.py", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/share/home/zhuyunfei/miniconda3/lib/python3.9/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/share/home/zhuyunfei/miniconda3/lib/python3.9/site-packages/tensorqtl/main.py", line 2, in
tensorqtl.main()
File "/share/home/zhuyunfei/miniconda3/lib/python3.9/site-packages/tensorqtl/tensorqtl.py", line 141, in main
calculate_qvalues(res_df, fdr=args.fdr, qvalue_lambda=args.qvalue_lambda, logger=logger)
File "/share/home/zhuyunfei/miniconda3/lib/python3.9/site-packages/tensorqtl/post.py", line 40, in calculate_qvalues
r = stats.pearsonr(res_df['pval_perm'], res_df['pval_beta'])[0]
File "/share/home/zhuyunfei/miniconda3/lib/python3.9/site-packages/scipy/stats/_stats_py.py", line 4455, in pearsonr
normym = linalg.norm(ym)
File "/share/home/zhuyunfei/miniconda3/lib/python3.9/site-packages/scipy/linalg/_misc.py", line 145, in norm
a = np.asarray_chkfinite(a)
File "/share/home/zhuyunfei/miniconda3/lib/python3.9/site-packages/numpy/lib/function_base.py", line 628, in asarray_chkfinite
raise ValueError(
ValueError: array must not contain infs or NaNs
WARNING: scipy.optimize.newton failed to converge (running scipy.optimize.minimize)
Time elapsed: 10.47 min
done.
Computing q-values
The text was updated successfully, but these errors were encountered: