Facilitating pathway and network based analysis of RNA-Seq data with pathlinkR

被引：0

作者：

Blimkie, Travis M. ^{[1
]}

An, Andy ^{[1
]}

Hancock, Robert E. W. ^{[1
]}

机构：

[1] Univ British Columbia, Ctr Microbial Dis & Immun Res, Dept Microbiol & Immunol, REW Hancock Lab, Vancouver, BC, Canada

来源：

PLOS COMPUTATIONAL BIOLOGY | 2024年 / 20卷 / 09期

关键词：

PACKAGE;

D O I：

10.1371/journal.pcbi.1012422

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

R package pathlinkR is designed to aid transcriptomic analyses by streamlining and simplifying the process of analyzing and interpreting differentially expressed genes derived from human RNA-Seq data. It provides an integrated approach to performing pathway enrichment and network-based analyses, while also producing publication-quality figures to summarize these results, allowing users to more efficiently interpret their findings and extract biological meaning from large amounts of data. pathlinkR is available to install from the software repository Bioconductor at https://bioconductor.org/packages/pathlinkR/, with support available through the Bioconductor forums.

引用

页数：6

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