Population-Level Cell-Cell Communication Analysis Tools
Boxplot Comparison of Ligand-Receptor Interaction Scores Across Groups
Plot Circular Ligand-Receptor Interaction Network
Create Ligand-Receptor Interaction Dot Plot
Dotplot of Ligand-Receptor Interaction Scores Against Continuous Group...
Filter and Analyze Ligand-Receptor Pair Correlations (All Cell Types)
Filter and Analyze Ligand-Receptor Pair Correlations (Specified Sender...
Generate Heatmap of Ligand-Receptor Interaction Scores
Example Seurat Object for PopComm Package
Compare Ligand-Receptor Interaction Scores with Group Variable using L...
Analyze Ligand-Receptor Pair Correlations and Projection Scores (Acros...
Analyze Ligand-Receptor Pair Correlations and Projection Scores (Speci...
Generate PCA of Ligand-Receptor Interaction Scores
Analyze Ligand-Receptor Projection Scores (Across All Cell Types)
Analyze Ligand-Receptor Projection Scores (Specified Sender and Receiv...
Facilitates population-level analysis of ligand-receptor (LR) interactions using large-scale single-cell transcriptomic data. Identifies significant LR pairs and quantifies their interactions through correlation-based filtering and projection score computations. Designed for large-sample single-cell studies, the package employs statistical modeling, including linear regression, to investigate LR relationships between cell types. It provides a systematic framework for understanding cell-cell communication, uncovering regulatory interactions and signaling mechanisms. Offers tools for LR pair-level, sample-level, and differential interaction analyses, with comprehensive visualization support to aid biological interpretation. The methodology is described in a manuscript currently under review and will be referenced here once published or publicly available.