Email updates   Open Access Highly Accessed Method  Integrating
diverse genomic data using gene sets  Svitlana Tyekucheva12,
Luigi Marchionni3, Rachel Karchin4 and Giovanni Parmigiani12*
Author Affiliations    3 Department of Oncology, Sidney Kimmel
Comprehensive Cancer Center, Johns Hopkins University, 1550
Orleans Street, Baltimore, MD 21231, USA  4 Department of
Biomedical Engineering, Institute for Computational Medicine,
Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD
21218, USA  For all author emails, please log on.  Genome
Biology 2011, 12:R105  doi:10.1186/gb-2011-12-10-r105
Received:6 May 2011 Revisions received:31 August 2011
Accepted:21 October 2011 Published:21 October 2011  © 2011
Tyekucheva et al.; licensee BioMed Central Ltd.    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. W