mantispy.pl.moa_confusion

Contents

mantispy.pl.moa_confusion#

mantispy.pl.moa_confusion(adata, key='moa', normalize=True, ax=None)#

The confusion matrix of nn_moa_classify(), as a heatmap.

With row normalization the diagonal is per-mechanism recall, and an off-diagonal block marks a pair of mechanisms the morphology does not separate. Such pairs usually have similar phenotypes.

Parameters:

  • adata (AnnData) – Object holding the confusion table nn_moa_classify() wrote.

  • key (str (default: 'moa')) – Name that run’s outputs were stored under, whose confusion table is key + "_confusion".

  • normalize (bool (default: True)) – Divide each row by its total, which turns the counts into per-mechanism recall.

  • ax (Axes | None (default: None)) – Axes to draw on, or None for a new figure.

Return type:

Axes

Returns:

The axes drawn on, holding true against predicted mechanisms with the values printed when there are at most 400 cells, and the run’s scheme and accuracy in the title.

Raises:

KeyError – uns["mantispy"] holds no key + "_confusion" table.

Contents