Finding disease specific alterations in the co-expression of genes.
other · Level V
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Abstract
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. 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.
Medical subject headings
- Algorithms
- Biomarkers, Tumor
- Diagnosis, Computer-Assisted
- Gene Expression Profiling
- Leukemia
- Neoplasm Proteins