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CCPlotR: an R package for the visualization of cell-cell interactions.
Ennis, Sarah; Ó Broin, Pilib; Szegezdi, Eva.
Afiliación
  • Ennis S; The SFI Centre for Research Training in Genomics Data Science, Galway, H91 TK33, Ireland.
  • Ó Broin P; Discipline of Bioinformatics, School of Mathematical & Statistical Sciences, University of Galway, Galway, H91 TK33, Ireland.
  • Szegezdi E; Apoptosis Research Centre, School of Biological & Chemical Sciences, University of Galway, Galway, H91 TK33, Ireland.
Bioinform Adv ; 3(1): vbad130, 2023.
Article en En | MEDLINE | ID: mdl-37767186
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).

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Bioinform Adv Año: 2023 Tipo del documento: Article País de afiliación: Irlanda Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Bioinform Adv Año: 2023 Tipo del documento: Article País de afiliación: Irlanda Pais de publicación: Reino Unido