A mixture model approach to detecting differentially expressed genes with microarray data

Abstract

An exciting biological advancement over the past few years is the use of microarray technologies to measure simultaneously the expression levels of thousands of genes. The bottleneck now is how to extract useful information from the resulting large amounts of data. An important and common task in analyzing microarray data is to identify genes with altered… (More)
DOI: 10.1007/s10142-003-0085-7

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