domains / families / data / heatmaps-clustering

heatmaps-clustering

separate

Build clustered heatmaps for expression matrices and other features-by-samples data with rigorous distance/linkage/scaling choices, robust color mapping, optimal leaf ordering, and ComplexHeatmap/pheatmap/seaborn rendering. Covers the ward.D vs ward.D2 trap, the row-vs-column scaling decision, multi-track annotations, oncoPrint, and raster rendering for large matrices. Use when visualizing expression patterns across samples or identifying co-regulated clusters.

When to use

• visualizing expression patterns across samples
• identifying co-regulated clusters
• rendering expression matrices
• features-by-samples data visualization
• hierarchical clustering dendrograms
• multi-track annotations
• oncoPrint rendering
• raster rendering for large matrices

Skill page

Source