A hybrid feature selection method based on Binary Jaya algorithm for micro-array data classification
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering
Reference22 articles.
1. Dealing with high-dimensional class-imbalanced datasets: Embedded feature selection for SVM classification;Maldonado;Appl Soft Comput J,2018
2. A new optimal gene selection approach for cancer classification using enhanced Jaya-based forest optimization algorithm;Baliarsingh;Neural Comput Appl,2020
3. Gene selection for cancer types classification using novel hybrid metaheuristics approach;Shukla;Swarm Evol Comput,2020
4. Supervised, unsupervised, and semi-supervised feature selection: A review on gene selection;Ang;IEEE/ACM Trans Comput Biol Bioinform,2015
5. Markov blanket-embedded genetic algorithm for gene selection;Zhu;Pattern Recognit,2007
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