A multitasking multi-objective differential evolution gene selection algorithm enhanced with new elite and guidance strategies for tumor identification

•MMODE is developed as a new hybrid gene selection method for tumor identification.•MMODE combines multi-tasking and multi-objective frameworks.•MMODE uses a new elite strategy and a new guidance strategy.•MMODE selects a few genes and achieves high classification accuracy. A key preprocessing step...

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Vydáno v:	Expert systems with applications Ročník 241; s. 122701
Hlavní autoři:	Li, Min, Zhao, Yangfan, Lou, Mingzhu, Deng, Shaobo, Wang, Lei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.05.2024
Témata:	Evolution multitasks Feature selection Gene selection Microarray expression profile data Multi-objection differential evolution Feature selection Gene selection Multi-objection differential evolution Microarray expression profile data Evolution multitasks
ISSN:	0957-4174, 1873-6793
On-line přístup:	Získat plný text
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