Correlation feature selection based improved-Binary Particle Swarm Optimization for gene selection and cancer classification

[Display omitted] •A two phase hybrid model based on improved-Binary Particle Swarm Optimization (iBPSO) is proposed for cancer diagnosis and classification using DNA microarray technology.•The model is examined on 11 different types of cancer microarray datasets and classified the samples with 100%...

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Veröffentlicht in:	Applied soft computing Jg. 62; S. 203 - 215
Hauptverfasser:	Jain, Indu, Jain, Vinod Kumar, Jain, Renu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2018
Schlagworte:	Cancer classification Gene selection Hybrid model Improved Binary Particle Swarm Optimization (iBPSO) Microarray data analysis Naive–Bayes Microarray data analysis Naive–Bayes Hybrid model Improved Binary Particle Swarm Optimization (iBPSO) Gene selection Cancer classification
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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