crested.pl.heatmap.correlations_self

crested.pl.heatmap.correlations_self(adata, log_transform=False, vmin=None, vmax=None, **kwargs)

Plot self correlation heatmaps of ground truth for different cell types.

Parameters:

• adata (AnnData) – AnnData object containing the data in X and predictions in layers.

• model_names – List of model names to plot for predictions heatmap. Default is to plot all models in adata.layers.

• log_transform (bool (default: False)) – Whether to log-transform the data before plotting.

• vmin (Optional[float] (default: None)) – Minimum value for heatmap color scale.

• vmax (Optional[float] (default: None)) – Maximum value for heatmap color scale.

• kwargs – Additional arguments passed to render_plot() to control the final plot output. Please see render_plot() for details.

See also

crested.pl.render_plot

Examples

>>> crested.pl.heatmap.correlations_self(
...     adata, log_transform=True, title="Self correlations heatmap"
... )