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.
|Original language||English (US)|
|State||Published - 2005|
ASJC Scopus subject areas
- Ecology, Evolution, Behavior and Systematics
- Cell Biology