ebGSEA: an improved Gene Set Enrichment Analysis method for Epigenome-Wide-Association Studies | Zendy

Danyue Dong | Zendy; Yuan Tian | Zendy; Shijie Zheng | Zendy; Andrew E. Teschendorff | Zendy

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ebGSEA: an improved Gene Set Enrichment Analysis method for Epigenome-Wide-Association Studies

Author(s) -

Danyue Dong,

Yuan Tian,

Shijie Zheng,

Andrew E. Teschendorff

Publication year - 2019

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btz073

Subject(s) - bioconductor , computational biology , context (archaeology) , computer science , dna methylation , set (abstract data type) , epigenome , biology , data mining , gene , genetics , gene expression , paleontology , programming language

The biological interpretation of differentially methylated sites derived from Epigenome-Wide-Association Studies (EWAS) remains a significant challenge. Gene Set Enrichment Analysis (GSEA) is a general tool to aid biological interpretation, yet its correct and unbiased implementation in the EWAS context is difficult due to the differential probe representation of Illumina Infinium DNA methylation beadchips.

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