Implement automated activity classification from experimental metadata

SBRG / pymodulon

Python package for analyzing and visualizing iModulons

MIT License

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Implement automated activity classification from experimental metadata #51

Closed avsastry closed 3 years ago

avsastry commented 3 years ago

Add function that uses ica_data.sample_table to identify metadata attributes that best separate iModulon activities. Output would be either a box plot, swarmplot, or overlapped boxplot/swarmplot that shows how different metadata identifiers classify iModulon activities.

A few good tests would include:

BW25113 iModulon (strain)
GlpR iModulon (carbon source)
SoxS iModulon (paraquat supplement + strain)

avsastry commented 3 years ago

Added in c93ff41d12ab13e1613bdd8e3c36b04d4e3592ba