An efficient multivariate feature ranking method for gene selection in high-dimensional microarray data

•Classification of microarray data plays a significant role in the diagnosis of cancer.•Feature selection is necessary for better analysis due to its high-dimensionality.•An efficient multivariate feature selection method is proposed for microarray data.•We demonstrate its usefulness of high accurac...

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Veröffentlicht in:	Expert systems with applications Jg. 166; S. 113971
Hauptverfasser:	Lee, Junghye, Choi, In Young, Jun, Chi-Hyuck
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 15.03.2021 Elsevier BV
Schlagworte:	Accuracy Cancer Classification Gene selection High-dimensional data Markov blanket Microarray data Mixed-type data Multiclass Multivariate analysis Multivariate feature selection Ranking Redundancy High-dimensional data Mixed-type data Ranking Microarray data Classification Markov blanket Gene selection Multiclass Multivariate feature selection
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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