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Article

META-ANALYSIS OF CONTINUOUS PHENOTYPES IDENTIFIES A GENE SIGNATURE THAT CORRELATES WITH COPD DISEASE STATUS.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing - 1 Jan 2017

Scott Madeleine, Vallania Francesco, Khatri Purvesh

Abstract excerpt

The utility of multi-cohort two-class meta-analysis to identify robust differentially expressed gene signatures has been well established. However, many biomedical applications, such as gene signatures of disease progression, require one-class analysis. Here we describe an R package, MetaCorrelator, that can identify a reproducible transcriptional signature that is correlated with a continuous disease phenotype...

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Identifiers

PMID: 27896981
DOI: 10.1142/9789813207813_0026
PMCID: PMC5464998

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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