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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:
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
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author Ennis, Sarah
Ó Broin, Pilib
Szegezdi, Eva
author_facet Ennis, Sarah
Ó Broin, Pilib
Szegezdi, Eva
author_sort Ennis, Sarah
collection PubMed
description 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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spelling pubmed-105216302023-09-27 CCPlotR: an R package for the visualization of cell–cell interactions Ennis, Sarah Ó Broin, Pilib Szegezdi, Eva Bioinform Adv Application Note 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). Oxford University Press 2023-09-20 /pmc/articles/PMC10521630/ /pubmed/37767186 http://dx.doi.org/10.1093/bioadv/vbad130 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Application Note
Ennis, Sarah
Ó Broin, Pilib
Szegezdi, Eva
CCPlotR: an R package for the visualization of cell–cell interactions
title CCPlotR: an R package for the visualization of cell–cell interactions
title_full CCPlotR: an R package for the visualization of cell–cell interactions
title_fullStr CCPlotR: an R package for the visualization of cell–cell interactions
title_full_unstemmed CCPlotR: an R package for the visualization of cell–cell interactions
title_short CCPlotR: an R package for the visualization of cell–cell interactions
title_sort ccplotr: an r package for the visualization of cell–cell interactions
topic Application Note
url 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
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