A simple strategy for detecting outlier samples in microarray data

Abstract

Microarrays can monitor expression levels of thousands of genes simultaneously. Many people have used the gene expression data obtained with microarrays to classify different groups of samples, such as different types or subtypes of cancers. In our experiments as well as those of some other investigators, it has been observed that in some microarray data… (More)
DOI: 10.1109/ICARCV.2004.1469039

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