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TWCOM: an R package for inference of cell-cell communication on spatially resolved transcriptomics data.
Wu, Dongyuan; Datta, Susmita.
Afiliación
  • Wu D; Department of Biostatistics, University of Florida, Gainesville, FL 32603, United States.
  • Datta S; Department of Biostatistics, University of Florida, Gainesville, FL 32603, United States.
Bioinform Adv ; 4(1): vbae101, 2024.
Article en En | MEDLINE | ID: mdl-39040219
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.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Bioinform Adv Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Bioinform Adv Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos