pl.qc

Visualize various normalisation and filtering steps.

Functions

filter_cutoff(adata[, cutoffs, model_name, ...])	Plot the effect of different potential filtering cutoffs in filter_regions_on_specificity() before doing the filtering.
normalization_weights(adata[, plot_kws, ax])	Plot the distribution of normalization scaling factors per cell type after running normalize_peaks().
sort_and_filter_cutoff(adata[, cutoffs, ...])	Plot the effect of different top_k cutoffs in sort_and_filter_regions_on_specificity(), which takes the top k regions per class.