Closed poorvam closed 2 years ago
Hi,
I am using nonbraching metadata (it has 3 columns only) format when running inferelator (https://inferelator.readthedocs.io/en/latest/tutorial.html)
But the program prints below, is there a function to let inferelator use nonbraching format?
Inferelator MPControl using engine multiprocessing Loading expression data file [XXX]_normCounts.tsv Loading metadata file phenotype.tsv Loaded [XXX]_normCounts.tsv: .... .... Skipping metadata because parsing requires missing columns: Index(['del.t', 'isTs', 'prevCol'], dtype='object')
Thanks, Poorva
If you've created a workflow (e.g. inferer = inferelator_workflow(regression="bbsr", workflow="tfa")), you can set the metadata format with inferer.set_file_properties(metadata_handler='nonbranching').
inferer = inferelator_workflow(regression="bbsr", workflow="tfa")
inferer.set_file_properties(metadata_handler='nonbranching')
Hi,
I am using nonbraching metadata (it has 3 columns only) format when running inferelator (https://inferelator.readthedocs.io/en/latest/tutorial.html)
But the program prints below, is there a function to let inferelator use nonbraching format?
Inferelator MPControl using engine multiprocessing Loading expression data file [XXX]_normCounts.tsv Loading metadata file phenotype.tsv Loaded [XXX]_normCounts.tsv: .... .... Skipping metadata because parsing requires missing columns: Index(['del.t', 'isTs', 'prevCol'], dtype='object')
Thanks, Poorva