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Integrating diverse genomic data using gene sets.


ABSTRACT: 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.

SUBMITTER: Tyekucheva S 

PROVIDER: S-EPMC3333775 | biostudies-literature | 2011 Oct

REPOSITORIES: biostudies-literature

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Integrating diverse genomic data using gene sets.

Tyekucheva Svitlana S   Marchionni Luigi L   Karchin Rachel R   Parmigiani Giovanni G  

Genome biology 20111021 10


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 individ  ...[more]

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