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...

Descrición completa

Detalles Bibliográficos

Publicado en:	IEEE Transactions on information technology in biomedicine 8, 2 (2004).
Autor Principal:	Huai-Kuang Tsai
Formato:	Artigo
Idioma:	inglés
Subjects:	GA. Biological interpretation. Gene clustering. Gene expression pattern. Gene ordering. Genetic network. Heterogeneous selection genetic algorithm. Microarray technology. Predefined functional category. Search mechanism.