MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics-Reference-Cited by-同舟云学术

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MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics

Published:2024 Issue: Volume:12 Page:21840-21867
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Abdulwahab Hudhaifa Mohammed¹^ORCID,Ajitha S.²^ORCID,Saif Mufeed Ahmed Naji³^ORCID,Murshed Belal Abdullah Hezam⁴^ORCID,Ghanem Fahd A.⁵^ORCID

Affiliation:

1. Department of Computer Science and IT, University of Science and Technology, Taizz, Yemen

2. Department of Computer Application, Ramaiah Institute of Technology (affiliated to VTU), Bengaluru, Karnataka, India

3. Department of Computer Applications, Sri Jayachamarajendra College of Engineering (affiliated to VTU), JSS TI Campus, Mysore, Karnataka, India

4. Department of Computer Science, College of Engineering and IT, Amran University, Amran, Yemen

5. Department of Computer Science and Engineering, PES College of Engineering, Mysore University, Mandya, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10419347.pdf?arnumber=10419347

Reference87 articles.

1. Gene reduction and machine learning algorithms for cancer classification based on microarray gene expression data: A comprehensive review

2. Graph-based relevancy-redundancy gene selection method for cancer diagnosis

3. Machine Learning Based Computational Gene Selection Models: A Survey, Performance Evaluation, Open Issues, and Future Research Directions

4. Microarray Bioinformatics

5. Feature subset selection in large dimensionality domains

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SE-BLS: A Shapley-Value-Based Ensemble Broad Learning System with collaboration-based feature selection and CAM visualization;Knowledge-Based Systems;2024-10

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