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Article

A comparative study on gene-set analysis methods for assessing differential expression associated with the survival phenotype.

BMC bioinformatics - 26 Sept 2011

Lee Seungyeoun, Kim Jinheum, Lee Sunho

Abstract excerpt

BACKGROUND: Many gene-set analysis methods have been previously proposed and compared through simulation studies and analysis of real datasets for binary phenotypes. We focused on the survival phenotype and compared the performances of Gene Set Enrichment Analysis (GSEA), Global Test (GT), Wald-type Test (WT) and Global Boost Test (GBST) methods in a simulation study and on two ovarian cancer data sets. We...

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Identifiers

PMID: 21943316
DOI: 10.1186/1471-2105-12-377
PMCID: PMC3196970

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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