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RichPathR: a gene set enrichment analysis and visualization tool.
Regmi, Binod; Brooks, Stephen R; Uhlman, Andrew J; Sun, Hong-Wei.
Afiliación
  • Regmi B; Biodata Mining and Discovery Section, NIAMS, NIH, Bethesda, MD, USA 1.
  • Brooks SR; Biodata Mining and Discovery Section, NIAMS, NIH, Bethesda, MD, USA 1.
  • Uhlman AJ; Biodata Mining and Discovery Section, NIAMS, NIH, Bethesda, MD, USA 1.
  • Sun HW; Biodata Mining and Discovery Section, NIAMS, NIH, Bethesda, MD, USA 1.
bioRxiv ; 2023 Aug 30.
Article en En | MEDLINE | ID: mdl-37886446
ABSTRACT
Gene set enrichment analysis (GSEA) is an important step for disease and drug discovery. Genomic, transcriptomics, proteomics and epigenetic analysis of tissue or cells generates gene lists that need to be further investigated in the known biological context. The advent of high-throughput technologies generates the vast number of gene lists that are up or down regulated together. One way of getting meaningful insights of the relationship of these genes is utilizing existing knowledge bases linking them with biological functions or phenotypes. Multiple public databases with annotated gene sets are available for GSEA, and enrichR is the most popular web application still requiring custom tools for large-scale mining. richPathR package is a collection of R functions that helps researchers carry out exploratory analysis and visualization of gene set enrichment using EnrichR.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article
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