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aPEAR: an R package for autonomous visualization of pathway enrichment networks
SUMMARY: The interpretation of pathway enrichment analysis results is frequently complicated by an overwhelming and redundant list of significantly affected pathways. Here, we present an R package aPEAR (Advanced Pathway Enrichment Analysis Representation) which leverages similarities between the pa...
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/PMC10641035/ https://www.ncbi.nlm.nih.gov/pubmed/37935424 http://dx.doi.org/10.1093/bioinformatics/btad672 |
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author | Kerseviciute, Ieva Gordevicius, Juozas |
author_facet | Kerseviciute, Ieva Gordevicius, Juozas |
author_sort | Kerseviciute, Ieva |
collection | PubMed |
description | SUMMARY: The interpretation of pathway enrichment analysis results is frequently complicated by an overwhelming and redundant list of significantly affected pathways. Here, we present an R package aPEAR (Advanced Pathway Enrichment Analysis Representation) which leverages similarities between the pathway gene sets and represents them as a network of interconnected clusters. Each cluster is assigned a meaningful name that highlights the main biological themes in the experiment. Our approach enables an automated and objective overview of the data without manual and time-consuming parameter tweaking. AVAILABILITY AND IMPLEMENTATION: The package aPEAR is implemented in R, published under the MIT open-source licence. The source code, documentation, and usage instructions are available on https://gitlab.com/vugene/aPEAR as well as on CRAN (https://CRAN.R-project.org/package=aPEAR). |
format | Online Article Text |
id | pubmed-10641035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106410352023-11-14 aPEAR: an R package for autonomous visualization of pathway enrichment networks Kerseviciute, Ieva Gordevicius, Juozas Bioinformatics Applications Note SUMMARY: The interpretation of pathway enrichment analysis results is frequently complicated by an overwhelming and redundant list of significantly affected pathways. Here, we present an R package aPEAR (Advanced Pathway Enrichment Analysis Representation) which leverages similarities between the pathway gene sets and represents them as a network of interconnected clusters. Each cluster is assigned a meaningful name that highlights the main biological themes in the experiment. Our approach enables an automated and objective overview of the data without manual and time-consuming parameter tweaking. AVAILABILITY AND IMPLEMENTATION: The package aPEAR is implemented in R, published under the MIT open-source licence. The source code, documentation, and usage instructions are available on https://gitlab.com/vugene/aPEAR as well as on CRAN (https://CRAN.R-project.org/package=aPEAR). Oxford University Press 2023-11-03 /pmc/articles/PMC10641035/ /pubmed/37935424 http://dx.doi.org/10.1093/bioinformatics/btad672 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 | Applications Note Kerseviciute, Ieva Gordevicius, Juozas aPEAR: an R package for autonomous visualization of pathway enrichment networks |
title |
aPEAR: an R package for autonomous visualization of pathway enrichment networks |
title_full |
aPEAR: an R package for autonomous visualization of pathway enrichment networks |
title_fullStr |
aPEAR: an R package for autonomous visualization of pathway enrichment networks |
title_full_unstemmed |
aPEAR: an R package for autonomous visualization of pathway enrichment networks |
title_short |
aPEAR: an R package for autonomous visualization of pathway enrichment networks |
title_sort | apear: an r package for autonomous visualization of pathway enrichment networks |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641035/ https://www.ncbi.nlm.nih.gov/pubmed/37935424 http://dx.doi.org/10.1093/bioinformatics/btad672 |
work_keys_str_mv | AT kerseviciuteieva apearanrpackageforautonomousvisualizationofpathwayenrichmentnetworks AT gordeviciusjuozas apearanrpackageforautonomousvisualizationofpathwayenrichmentnetworks |