title: Searching for differentially expressed gene combinations.
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.
authors.affiliation: Department of Oncology, Johns Hopkins Medical Institutions, Baltimore, MD 21205, USA. dettling@jhu.edu
authors.forename: Marcel
authors.initials: M
authors.lastname: Dettling
authors.forename: Edward
authors.initials: E
authors.lastname: Gabrielson
authors.forename: Giovanni
authors.initials: G
authors.lastname: Parmigiani
mesh_terms: D020869:Gene Expression Profiling / Q000379:methods*; D052138:Genes, Neoplasm / Q000235:genetics; D006801:Humans; D008957:Models, Genetic; D009369:Neoplasms / Q000235:genetics; D012372:ROC Curve; D012984:Software