pypath.resources.data_formats.transcription_onebyone

pypath.resources.data_formats.transcription_onebyone = {'abs': <pypath.internals.input_formats.NetworkInput object>, 'encode_dist': <pypath.internals.input_formats.NetworkInput object>, 'encode_prox': <pypath.internals.input_formats.NetworkInput object>, 'htri': <pypath.internals.input_formats.NetworkInput object>, 'kegg': <pypath.internals.input_formats.NetworkInput object>, 'kegg-medicus': <pypath.internals.input_formats.NetworkInput object>, 'oreganno': <pypath.internals.input_formats.NetworkInput object>, 'pazar': <pypath.internals.input_formats.NetworkInput object>, 'signor': <pypath.internals.input_formats.NetworkInput object>, 'trrust': <pypath.internals.input_formats.NetworkInput object>}

New default transcription dataset is only TFregulons as it is already an integrated resource and has sufficient coverage.

Example

import pypath

# load only A confidence level: pypath.data_formats.transcription[‘tfregulons’].input_args[‘levels’] = {‘A’} pa = pypath.PyPath() pa.init_network(pypath.data_formats.transcription)

pypath.data_formats.transcription[‘tfregulons’].input_args[‘levels’] = {

‘A’, ‘B’, ‘C’, ‘D’

} pa = pypath.PyPath() pa.init_network(pypath.data_formats.transcription)