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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | PopComm_1.0.0.tar.gz |
2.5 MiB |
1.0.0 |
rolling linux/noble R-4.5 | PopComm_1.0.0.tar.gz |
2.5 MiB |
1.0.0 |
rolling source/ R- | PopComm_1.0.0.tar.gz |
1.8 MiB |
1.0.0 |
latest linux/jammy R-4.5 | PopComm_1.0.0.tar.gz |
2.5 MiB |
1.0.0 |
latest linux/noble R-4.5 | PopComm_1.0.0.tar.gz |
2.5 MiB |
1.0.0 |
latest source/ R- | PopComm_1.0.0.tar.gz |
1.8 MiB |
1.0.0 |
2026-04-26 source/ R- | PopComm_1.0.0.tar.gz |
1.8 MiB |
1.0.0 |
2026-04-23 source/ R- | PopComm_1.0.0.tar.gz |
1.8 MiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | PopComm_1.0.0.zip |
2.5 MiB |
Dependencies (latest)
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
- cowplot (>= 1.1.1)