An evolutionary approach for gene expression patterns.

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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Bibliographic Details
Published in:IEEE Transactions on information technology in biomedicine 8, 2 (2004).
Main Author: Huai-Kuang Tsai
Format: Article
Language:English
Subjects:
GA.
Biological interpretation.
Gene clustering.
Gene expression pattern.
Gene ordering.
Genetic network.
Heterogeneous selection genetic algorithm.
Microarray technology.
Predefined functional category.
Search mechanism.