CCPlotR

CCPlotR visualizes predicted cell-cell interactions from single-cell gene expression data to represent cellular communication networks.

Key Features:

• Input Requirements: Accepts a table of predicted interactions derived from single-cell gene expression analyses.
• Compatibility: Operates with outputs from computational tools that predict cell-cell interactions.
• Visualization Capabilities: Provides heatmaps, dotplots, circos plots, and network diagrams to represent interaction matrices, per-interaction metrics, circular relationship layouts, and connection networks.

Scientific Applications:

• Systems biology: Facilitates interpretation of intercellular communication networks in systems biology studies.
• Immunology: Supports analysis of cell-cell communication relevant to immunology research.
• Developmental biology: Supports analysis of cell-cell interactions in developmental biology contexts.

Methodology:

Visualizes predicted interaction tables derived from single-cell gene expression analyses using heatmaps, dotplots, circos plots, and network diagrams.