Use of SVM-based ensemble feature selection method for gene expression data analysis

DOI10.1515/SAGMB-2022-0002zbMath1494.92053OpenAlexW4285413194MaRDI QIDQ2162492

Mingjin Zhang, Shizhi Zhang

Publication date: 8 August 2022

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/sagmb-2022-0002

zbMATH Keywords

gene expression datasupport vector machineensemble feature selection

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Biochemistry, molecular biology (92C40)

Uses Software

• LIBSVM

Cites Work

• Batch effect reduction of microarray data with dependent samples using an empirical Bayes approach (BRIDGE)
• The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
• Gene selection for cancer classification using support vector machines

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