Two-stage feature selection for classification of gene expression data based on an improved salp swarm algorithm

DOI10.3934/mbe.2022641OpenAlexW4297922531MaRDI QIDQ2694136

Yanyan Li

Publication date: 28 March 2023

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2022641

zbMATH Keywords

high-dimensional datagene expression datafeature selectioncancer classificationswarm intelligence optimization algorithm

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Approximation methods and heuristics in mathematical programming (90C59) Biochemistry, molecular biology (92C40)

Cites Work

• Clustering of fuzzy data and simultaneous feature selection: a model selection approach
• An adaptive inertia weight teaching-learning-based optimization algorithm and its applications
• Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification
• 10.1162/153244303322753616
• A General Framework for Weighted Gene Co-Expression Network Analysis

This page was built for publication: Two-stage feature selection for classification of gene expression data based on an improved salp swarm algorithm