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Searching for differentially expressed gene combinations
Authors:Marcel?Dettling  author-information"  >  author-information__contact u-icon-before"  >  mailto:dettling@jhu.edu"   title="  dettling@jhu.edu"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author,Edward?Gabrielson,Giovanni?Parmigiani
Affiliation:(1) Department of Oncology, Johns Hopkins Medical Institutions, Baltimore, MD 21205, USA;(2) Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD 21205, USA;(3) Department of Biostatistics, Johns Hopkins Medical Institutions, Baltimore, MD 21205, USA
Abstract:We propose 'CorScor', a novel approach for identifying gene pairs with joint differential expression. This is defined as a situation with good phenotype discrimination in the bivariate, but not in the two marginal distributions. CorScor can be used to detect phenotype-related dependencies and interactions among genes. Our easily interpretable approach is scalable to current microarray dimensions and yields promising results on several cancer-gene-expression datasets.
Keywords:
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