Multivariate search for differentially expressed gene combinations

200446 citationsJournal Articlegold Open Access

Authors

Robert D. Frisina · University of Rochester

Alexander Gordon · University of Rochester

Lev B. Klebanov · University of Rochester

Andrei Yakovlev · University of Rochester

Abstract

A new algorithm has been developed to identify differentially expressed gene combinations. The performance of the proposed search-and-testing procedure has been evaluated by computer simulations and analysis of replicated Affymetrix gene array data on age-related changes in gene expression in the inner ear of CBA mice.

Topics & Keywords

Gene expression and cancer classification Molecular Biology Techniques and Applications Genetic Mapping and Diversity in Plants and Animals

Publication Details

Published in: BMC Bioinformatics

Volume 5, Issue 1, pp. 164-164

DOI: 10.1186/1471-2105-5-164

Field-Weighted Citation Impact: 2.04

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Multivariate search for differentially expressed gene combinations

Authors

Abstract

Topics & Keywords

Publication Details