grassp.pl.sample_heatmap

sample_heatmap(data, distance_metric='correlation', show=True)

Correlation heat-map between samples (columns of data).

Parameters:

data AnnData

AnnData object where the variables represent individual samples (e.g. pull-downs or fractions). Correlations are computed across the observation axis.

distance_metric Literal['euclidean', 'cosine', 'correlation', 'cityblock', 'jaccard', 'hamming'] (default: 'correlation')

Distance metric for scipy.spatial.distance.pdist(). Not used directly at the moment (the function plots correlations), but kept for API symmetry with protein_clustermap().

show bool (default: True)

If True show the figure and return None. Otherwise return the seaborn.matrix.ClusterGrid instance.

Return type:

ClusterGrid | None

Returns:

ClusterGrid object if show is False.