Integrating diverse genomic data using gene sets

Svitlana Tyekucheva, Luigi Marchionni, Rachel Karchin, Giovanni Parmigiani

Research output: Contribution to journalArticlepeer-review

40 Scopus citations


We introduce and evaluate data analysis methods to interpret simultaneous measurement of multiple genomic features made on the same biological samples. Our tools use gene sets to provide an interpretable common scale for diverse genomic information. We show we can detect genetic effects, although they may act through different mechanisms in different samples, and show we can discover and validate important disease-related gene sets that would not be discovered by analyzing each data type individually.

Original languageEnglish (US)
Article numberR105
JournalGenome biology
Issue number10
StatePublished - Oct 21 2011

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Cell Biology


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