Nature-inspired metaheuristics model for gene selection and classification of biomedical microarray data.

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作者： Rabia Musheer,Aziz ^[1]

作者单位： SASL, Department of Mathematics, VIT Bhopal University, Bhopal- Indore Highway, Kothrikalan, Sehore, MP, 466116, India. rabia.aziz2010@gmail.com. ^[1]

关键词 Artificial bee colony (ABC)Cuckoo search (CS)Genetic algorithm (GA)Independent component analysis (ICA)Na?ve Bayes (NB)

主题词算法(Algorithms);贝叶斯定理(Bayes Theorem);计算生物学(Computational Biology);微阵列分析(Microarray Analysis)

DOI 10.1007/s11517-022-02555-7

PMID 35399141

发布时间 2022-05-10

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Medical & biological engineering & computing

2022年60卷6期

1627-1646页

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Nature-inspired metaheuristics model for gene selection and classification of biomedical microarray data.

Medical & biological engineering & computing

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Medical & biological engineering & computing

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Nature-inspired metaheuristics model for gene selection and classification of biomedical microarray data.

Medical & biological engineering & computing

相似文献

Medical & biological engineering & computing

相关期刊

检索历史清除