Gene expression data analysis with the clustering method based on an improved quantum-behaved Particle Swarm Optimization

Microarray technology has been widely applied in study of measuring gene expression levels for thousands of genes simultaneously. In this technology, gene cluster analysis is useful for discovering the function of gene because co-expressed genes are likely to share the same biological function. Many...

Full description

Bibliographic Details

Published in:	Engineering applications of artificial intelligence Vol. 25; no. 2; pp. 376 - 391
Main Authors:	Sun, Jun, Chen, Wei, Fang, Wei, Wun, Xiaojun, Xu, Wenbo
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.03.2012
Subjects:	Algorithms Clustering Computer simulation Gene expression Gene expression data Genes Mathematical analysis Mathematical models Optimization Particle Swarm Optimization (PSO) Quantum-behaved Particle Swarm Optimization (QPSO) Gene expression data Clustering Quantum-behaved Particle Swarm Optimization (QPSO) Particle Swarm Optimization (PSO)
ISSN:	0952-1976, 1873-6769
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!