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Nam, Dougu
Bioinformatics Lab.
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netGO: R-Shiny package for network-integrated pathway enrichment analysis

Author(s)
Kim, JinhwanYoon, SoraNam, Dougu
Issued Date
2020-05
DOI
10.1093/bioinformatics/btaa077
URI
https://scholarworks.unist.ac.kr/handle/201301/33025
Fulltext
https://academic.oup.com/bioinformatics/article/36/10/3283/5728635
Citation
BIOINFORMATICS, v.36, no.10, pp.3283 - 3285
Abstract
A Summary: We present an R-Shiny package, netGO, for novel network-integrated pathway enrichment analysis. The conventional Fisher's exact test (FET) considers the extent of overlap between target genes and pathway gene-sets, while recent network-based analysis tools consider only network interactions between the two. netGO implements an intuitive framework to integrate both the overlap and networks into a single score, and adaptively resamples genes based on network degrees to assess the pathway enrichment. In benchmark tests for gene expression and genome-wide association study (GWAS) data, netGO captured the relevant gene-sets better than existing tools, especially when analyzing a small number of genes. Specifically, netGO provides user-interactive visualization of the target genes, enriched gene-set and their network interactions for both netGO and FET results for further analysis. For this visualization, we also developed a standalone R-Shiny package shinyCyJS to connect R-shiny and the JavaScript version of cytoscape.
Publisher
OXFORD UNIV PRESS
ISSN
1367-4803
Keyword
FUNCTIONAL GENE NETWORKSDATABASEV2

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