Article
An evolutionary approach for gene expression patterns.
IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society - 1 Jun 2004
Tsai Huai-Kuang, Yang Jinn-Moon, Tsai Yuan-Fang, Kao Cheng-Yan
Abstract excerpt
This study presents an evolutionary algorithm, called a heterogeneous selection genetic algorithm (HeSGA), for analyzing the patterns of gene expression on microarray data. Microarray technologies have provided the means to monitor the expression levels of a large number of genes simultaneously. Gene clustering and gene ordering are important in analyzing a large body of microarray expression data. The proposed...
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