PopComm: Population-Level Cell-Cell Communication Analysis Tools
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.
| Version: |
0.1.0.1 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
Seurat (≥ 4.1.0), broom (≥ 1.0.0), dplyr (≥ 1.0.0), purrr (≥ 0.3.0), rlang, stringr (≥ 1.4.0), tibble (≥ 3.0.0), tidyr (≥ 1.0.0), tidyselect (≥ 1.1.0), Matrix (≥ 1.2-0), ggplot2 (≥ 3.3.0), ggpubr (≥ 0.6.0), pheatmap (≥ 1.0.12), RColorBrewer, reshape2 (≥ 1.4.1), scales (≥ 1.1.1), igraph (≥ 2.0.0), parallel, pbmcapply (≥ 1.5.0), grDevices |
| Published: |
2025-04-25 |
| Author: |
Zheng Gong  [aut,
cre],
Mengwei Li [aut,
ctb] |
| Maintainer: |
Zheng Gong <gongzheng131 at hotmail.com> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
PopComm results |
Documentation:
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