CCPlotR: an R package for the visualization of cell–cell interactions

SUMMARY: We present CCPlotR—an R package that generates visualizations of cell–cell interactions. CCPlotR is designed to work with the output of tools that predict cell–cell interactions from single-cell gene expression data and requires only a table of predicted interactions as input. The package c...

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Detalles Bibliográficos
Autores principales: Ennis, Sarah, Ó Broin, Pilib, Szegezdi, Eva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Application Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521630/
https://www.ncbi.nlm.nih.gov/pubmed/37767186
http://dx.doi.org/10.1093/bioadv/vbad130
Descripción
Sumario:SUMMARY: We present CCPlotR—an R package that generates visualizations of cell–cell interactions. CCPlotR is designed to work with the output of tools that predict cell–cell interactions from single-cell gene expression data and requires only a table of predicted interactions as input. The package can generate a comprehensive set of publication-ready figures such as heatmaps, dotplots, circos plots and network diagrams, providing a useful resource for researchers working on cell–cell interactions. AVAILABILITY AND IMPLEMENTATION: CCPlotR is available to download and install from GitHub (https://github.com/Sarah145/CCPlotR) and comes with a toy dataset to demonstrate the different functions. Support for users will be provided via the GitHub issues tracker (https://github.com/Sarah145/CCPlotR/issues).

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