A comparative study of nature-inspired metaheuristic algorithms using a three-phase hybrid approach for gene selection and classification in high-dimensional cancer datasets-Reference-Cited by-同舟云学术

A comparative study of nature-inspired metaheuristic algorithms using a three-phase hybrid approach for gene selection and classification in high-dimensional cancer datasets

Published:2021-03-23 Issue:13 Volume:25 Page:8683-8701
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Hameed Shilan S.^ORCID,Hassan Wan Haslina,Latiff Liza Abdul,Muhammadsharif Fahmi F.

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-021-05726-0.pdf

Reference77 articles.

1. Abd El Aziz M, Hassanien AE (2018) Modified cuckoo search algorithm with rough sets for feature selection. Neural Comput Appl 29:925–934

2. Abdel-Basset M, Hessin A-N, Abdel-Fatah L (2018) A comprehensive study of cuckoo-inspired algorithms. Neural Comput Appl 29:345–361

3. Acharya R, Vipsita S, Baliarsingh SK Biclustering of microarray data employing multiobjective ga. In: 2017 14th IEEE India Council International Conference (INDICON), 2017. IEEE, pp 1–6

4. Aghelpour P, Bahrami-Pichaghchi H, Kisi O (2020) Comparison of three different bio-inspired algorithms to improve ability of neuro fuzzy approach in prediction of agricultural drought, based on three different indexes. Comput Electron Agric 170:105279

5. Alba E, Garcia-Nieto J, Jourdan L, Talbi E-G (2007) Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms. In: IEEE Congress on Evolutionary Computation, 2007. CEC 2007. IEEE, pp 284–290. https://doi.org/10.1109/CEC.2007.4424483

Cited by 23 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. Improving and comparing performance of machine learning classifiers optimized by swarm intelligent algorithms for code smell detection;Science of Computer Programming;2024-10

2. A Hybrid Feature Selection Method for Human Activity Recognition;2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS);2024-04-24

3. Hybrid whale algorithm with evolutionary strategies and filtering for high-dimensional optimization: Application to microarray cancer data;PLOS ONE;2024-03-11

4. Feature Subset Selection for High-Dimensional, Low Sampling Size Data Classification Using Ensemble Feature Selection With a Wrapper-Based Search;IEEE Access;2024

5. Role of Pre-processing in Gene Selection Using DNA Microarray Gene Expression Data;Studies in Autonomic, Data-driven and Industrial Computing;2024