episcanpy.api.pp.variability_features

episcanpy.api.pp.variability_features(adata, min_score=None, nb_features=None, show=True, title=None, log=None, xlabel='ranked features', ylabel='variability score', save=None)

This function computes a variability score to rank the most variable features across all cells. Then it selects the most variable features according to either a specified number of features (nb_features) or a maximum variance score (max_score).

Parameters

adata : adata object

min_score : default value is None, if specify it will plot threshold

nb_features : default value is None, if specify it will plot threshold

log : default false. You can specify 'log2' or 'log10' to put the ranked features on a log scale

show : default value True

save : if specified, save the figure.