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Detecting intergene correlation changes in microarray analysis: a

Publication at Faculty of Mathematics and Physics |
2009

Abstract

Microarray technology is commonly used as a simple screening tool with a focus on selecting genes that exhibit extremely large differential expressions between different phenotypes. It lacks the ability to select genes that change their relationships with other genes in different biological conditions (differentially correlated genes).

We intend to enrich the above procedure by proposing a nonparametric selection procedure that selects differentially correlated genes.