期刊
BIOINFORMATICS
卷 20, 期 -, 页码 194-199出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bth909
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Motivation: Standard analysis routines for microarray data aim at differentially expressed genes. In this paper, we address the complementary problem of detecting sets of differentially co-expressed genes in two phenotypically distinct sets of expression profiles. Results: We introduce a score for differential co-expression and suggest a computationally efficient algorithm for finding high scoring sets of genes. The use of our novel method is demonstrated in the context of simulations and on real expression data from a clinical study.
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