Work

Integrating diverse genomic data using gene sets

Year: 2011

Type: article

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.

Source: Genome biology

DOI: 10.1186/gb-2011-12-10-r105

Authors: Svitlana Tyekucheva, Luigi Marchionni, Rachel Karchin, Giovanni Parmigiani

Institutions: Dana-Farber Cancer Institute, Johns Hopkins University, Sidney Kimmel Comprehensive Cancer Center, Harvard University

Language: English

Topic: Bioinformatics and Genomic Networks

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $5,490

Funders: National Science Foundation, National Institutes of Health, National Cancer Institute