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Subspace clustering for microarray data analysis:multiple criteria and significance assessment

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4 Author(s)
Hui Fang ; University of Illinois ; Chengxiang Zhai ; Lei Liu ; Jiong Yang

As one of the latest breakthroughs in experimental molecular biology, microarray technology provides a powerful tool for monitoring the expression patterns of thousands of genes simultaneously, producing huge amounts of valuable gene expression data. Gene expression data are organized as matrices --- tables where rows represent genes, columns represent various samples such as tissues or experimental conditions, and a cell number indicates the expression level of a particular gene in a particular sample.

Published in:

Computational Systems Bioinformatics Conference, 2004. CSB 2004. Proceedings. 2004 IEEE

Date of Conference:

19-19 Aug. 2004