Hybrid binary arithmetic optimization algorithm with simulated annealing for feature selection in high-dimensional biomedical data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-022-04507-2.pdf
Reference68 articles.
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2. Pashaei E, Pashaei E (2021) Gene selection using hybrid dragonfly black hole algorithm: a case study on RNA-seq COVID-19 data. Anal Biochem 627:114242. https://doi.org/10.1016/j.ab.2021.114242
3. Zhang G, Hou J, Wang J et al (2020) Feature selection for microarray data classification using hybrid information gain and a modified binary krill herd algorithm. Interdiscip Sci Comput Life Sci 12:288–301. https://doi.org/10.1007/s12539-020-00372-w
4. Dashtban M, Balafar M (2017) Gene selection for microarray cancer classification using a new evolutionary method employing artificial intelligence concepts. Genomics 109:91–107. https://doi.org/10.1016/j.ygeno.2017.01.004
5. Alomari OA, Khader AT, Al-Betar MA, Awadallah MA (2018) A novel gene selection method using modified MRMR and hybrid bat-inspired algorithm with β-hill climbing. Appl Intell 48:4429–4447. https://doi.org/10.1007/s10489-018-1207-1
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