Plotting pl

Visualization functions for seqlet analysis and motif exploration.

pl.tsne(adata[, color_by, alpha, s, ...])	Visualize seqlet clusters in t-SNE space as a scatter plot.
pl.tsne_logos(adata[, patterns, color_by, ...])	Visualize seqlet clusters in t-SNE space with optional sequence logos at centroids.
pl.dbd_heatmap(adata[, dbd_column, ...])	Create a clustered heatmap showing seqlet counts per cell type and DNA-binding domain.
pl.dbd_topic_heatmap(adata[, ...])	Plot heatmap of average topic probabilities grouped by DNA-binding domain (DBD).
pl.region_contributions(adata[, ...])	Visualize contribution scores for a full genomic region with annotated seqlet regions.
pl.dbd_logos(patterns[, ic_threshold, ...])	Create a subplot grid showing sequence logos for each DNA-binding domain.
pl.dbd_cluster_logos(patterns, dbd_name[, ...])	Create a subplot grid showing sequence logos for all clusters of a specific DBD.
pl.region_topic_tsne(adata[, ...])	Plot t-SNE visualization of regions colored by topic probabilities.
pl.render_plot(fig[, width, height, title, ...])	Render a plot with customization options.