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...

Полное описание

Библиографические подробности

Опубликовано в::	IEEE Transactions on information technology in biomedicine 8, 2 (2004).
Главный автор:	Huai-Kuang Tsai
Формат:	Статья
Язык:	English
Предметы:	GA. Biological interpretation. Gene clustering. Gene expression pattern. Gene ordering. Genetic network. Heterogeneous selection genetic algorithm. Microarray technology. Predefined functional category. Search mechanism.