cellcellcommunicationplots

Generate publication-ready network, heatmap, and circos plots from CellCellCommunication cccfile data.

22|4|Updated May 18, 2021
One-click install
npx skills add https://github.com/pwwang/immunopipe --skill cellcellcommunicationplots
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cellcellcommunicationplots
Source: https://github.com/pwwang/immunopipe/tree/main/skills/cellcellcommunicationplots
Command: npx skills add https://github.com/pwwang/immunopipe --skill cellcellcommunicationplots

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Visualize and interpret cell-cell communication inference results by turning ligand-receptor interaction data into publication-ready visuals.

Core Features & Use Cases

  • Multiple plot types (network, heatmap, circos, dot, box, violin, ridge) to cover global and detailed views.
  • Subset and compare pathways or cell-type pairs using subset expressions.
  • Output formats and presentation-ready aesthetics suitable for reports and manuscripts.

Quick Start

Provide the CCC file output from CellCellCommunication and request a plot type to generate publication-ready visuals.

Frequently Asked Questions about cellcellcommunicationplots

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I visualize cell-cell communication inference results for a manuscript?

To visualize cell-cell communication results, provide the CCC file from your inference process and select a plot type. The tool outputs publication-ready network, heatmap, or circos graphics tailored for reports and manuscripts.

What plot types are available for ligand-receptor interaction data?

Available plot types for ligand-receptor interaction data include network, heatmap, circos, dot, box, violin, and ridge plots. These options allow both global overviews and detailed views of cell-cell communication.

Can I subset specific pathways or cell-type pairs when plotting CCC data?

Yes, you can subset specific pathways or cell-type pairs using subset expressions. This allows you to filter and compare targeted ligand-receptor interactions across cell types in your visualizations.

How do I customize the resolution and format of cell-cell communication network plots?

You can customize cell-cell communication network plots through configuration options for output formats and resolutions. The tool exposes settings to adjust presentation aesthetics for publication-ready visuals.

What is the difference between aggregation and interaction methods in CCC visualization?

The aggregation and interaction methods represent different ways to process and display ligand-receptor interaction data. The configuration exposes these methods to tailor how communication scores are calculated and visualized across cell types.

Does this tool require a specific input file format for cell-cell communication plots?

Yes, it requires a CCC file generated from the CellCellCommunication process. This specific input file contains the ligand-receptor interaction data required to generate the publication-ready visuals.