META-ANALYSIS OF CONTINUOUS PHENOTYPES IDENTIFIES A GENE SIGNATURE THAT CORRELATES WITH COPD DISEASE STATUS.
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SUBMITTER: Scott M
PROVIDER: S-EPMC5464998 | biostudies-literature | 2017
REPOSITORIES: biostudies-literature
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META-ANALYSIS OF CONTINUOUS PHENOTYPES IDENTIFIES A GENE SIGNATURE THAT CORRELATES WITH COPD DISEASE STATUS.
Scott Madeleine M Vallania Francesco F Khatri Purvesh P
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 20170101
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 across multiple datasets. We successfully applied this framework to extract a pattern ...[more]
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