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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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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). |
format | Online Article Text |
id | pubmed-10521630 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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