Plotting: `pl`#

Plotting description

render_plot(fig[, width, height, title, ...])

Render a plot with customization options.

Patterns: Contribution scores and Modisco results#

`patterns.contribution_scores`(scores, ...[, ...])	Visualize interpretation scores with optional highlighted positions.
`patterns.modisco_results`(classes, ...[, ...])	Plot genomic contributions for the given classes.

`bar.region`(adata, region[, target])	Barplot of groundtruths or predictions for a specific region comparing classes.
`bar.region_predictions`(adata, region[, ...])	Barplots of all predictions in .layers vs the groundtruth for a specific region across comparing classes.
`bar.normalization_weights`(adata, **kwargs)	Plot the distribution of normalization scaling factors per cell type.

hist.distribution(adata[, target, ...])

Histogram of region distribution for specified classes.

Correlations

`heatmap.correlations_self`(adata[, ...])	Plot self correlation heatmaps of ground truth for different cell types.
`heatmap.correlations_predictions`(adata[, ...])	Plot correlation heatmaps of predictions vs ground truth or target values for different cell types.

scatter.class_density(adata[, class_name, ...])

Plot a density scatter plot of predictions vs ground truth for specified models and class.