An evolutionary approach for gene expression patterns.

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. Gen...

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Τόπος έκδοσης:	IEEE Transactions on information technology in biomedicine 8, 2 (2004).
Κύριος συγγραφέας:	Huai-Kuang Tsai
Μορφή:	Άρθρο
Γλώσσα:	English
Θέματα:	GA. Biological interpretation. Gene clustering. Gene expression pattern. Gene ordering. Genetic network. Heterogeneous selection genetic algorithm. Microarray technology. Predefined functional category. Search mechanism.