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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Vydáno v:	Applied soft computing Ročník 62; s. 203 - 215
Hlavní autoři:	Jain, Indu, Jain, Vinod Kumar, Jain, Renu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.01.2018
Témata:	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
On-line přístup:	Získat plný text
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