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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 |
DOI: | 10.32614/CRAN.package.PopComm |
Author: | Zheng Gong |
Maintainer: | Zheng Gong <gongzheng131 at hotmail.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | PopComm results |
Reference manual: | PopComm.pdf |
Package source: | PopComm_0.1.0.1.tar.gz |
Windows binaries: | r-devel: not available, r-release: PopComm_0.1.0.1.zip, r-oldrel: PopComm_0.1.0.1.zip |
macOS binaries: | r-release (arm64): PopComm_0.1.0.1.tgz, r-oldrel (arm64): PopComm_0.1.0.1.tgz, r-release (x86_64): PopComm_0.1.0.1.tgz, r-oldrel (x86_64): PopComm_0.1.0.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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