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Genome Biol. 2011 Oct 21;12(10):R105. doi: 10.1186/gb-2011-12-10-r105.

Integrating diverse genomic data using gene sets.

Author information

1
Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02115, USA.

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.

PMID:
22018358
PMCID:
PMC3333775
DOI:
10.1186/gb-2011-12-10-r105
[Indexed for MEDLINE]
Free PMC Article
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