InteractiveComplexHeatmap

InteractiveComplexHeatmap provides interactivity to ComplexHeatmap outputs in R/Bioconductor, enabling dynamic exploration and selection of rows and columns within heatmap visualizations for bioinformatics data analysis.

Key Features:

• Interactivity: Transforms ComplexHeatmap visualizations into interactive displays by integrating with Shiny to enable dynamic inspection of heatmap cells and regions.
• Selection and search: Supports selection of subsets and searching by row or column labels, including selection across multiple concatenated heatmaps.
• Import compatibility: Converts static heatmaps produced by heatmap.2() and pheatmap() into interactive applications.
• Event handling: Provides mechanisms to define custom responses to selection events within heatmaps.
• Complex annotations and concatenation: Retains ComplexHeatmap capabilities such as concatenating multiple heatmaps and adding complex annotations.

Scientific Applications:

• Gene expression analysis: Enables interactive visualization and exploration of gene expression profiles to identify patterns across samples and genes.
• Protein interaction and other omics data: Facilitates examination of patterns and relationships in protein interaction matrices and other complex biological datasets.
• Hypothesis generation: Supports interactive data inspection to inform hypothesis generation and subsequent testing in bioinformatics studies.

Methodology:

Leverages ComplexHeatmap for visualization and adds interactivity via Shiny, supports conversion of heatmap.2() and pheatmap() outputs, and preserves ComplexHeatmap features such as concatenation of multiple heatmaps and complex annotations.