Wu D, Datta S. TWCOM: an R package for inference of cell-cell communication on spatially resolved transcriptomics data.
BIOINFORMATICS ADVANCES 2024;
4:vbae101. [PMID:
39040219 PMCID:
PMC11262461 DOI:
10.1093/bioadv/vbae101]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 05/16/2024] [Accepted: 07/15/2024] [Indexed: 07/24/2024]
Abstract
Summary
The inference of cell-cell communication is important, as it unveils the intricate cellular behaviors at the molecular level, providing crucial insights essential for understanding complex biological processes and informing targeted interventions in various pathological contexts. Here, we present TWCOM, an R package that implements a Tweedie distribution-based model for accurate cell-cell communication inference. Operating under a generalized additive model framework, TWCOM adeptly handles both single-cell resolution and spot-based spatially resolved transcriptomics data, providing a versatile tool for robust biological sample analysis.
Availability and implementation
The R package TWCOM is available at https://github.com/dongyuanwu/TWCOM. Comprehensive documentation is included with the package.
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