Improved multi-layer hybrid adaptive particle swarm optimization based artificial bee colony for optimizing feature selection and classification of microarray data-Reference-Cited by-同舟云学术

Improved multi-layer hybrid adaptive particle swarm optimization based artificial bee colony for optimizing feature selection and classification of microarray data

Published:2023-10-17 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Kiliçarslan Serhat^ORCID,Dönmez Emrah

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-17234-4.pdf

Reference52 articles.

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3. Alanni R, Hou J, Azzawi H, Xiang Y (2019) A novel gene selection algorithm for cancer classification using microarray datasets. BMC Med Genomics 12(1):1–12

4. Alrefai N, Ibrahim O (2022) Optimized feature selection method using particle swarm intelligence with ensemble learning for cancer classification based on microarray datasets. Neural Comput Applic 34(16):13513–13528

5. Atay Y, Yıldırım MO, Doğan CU (2021) High performance classification of cancer types with gene microarray datasets: hybrid approach. Gazi Univ J Sci Part C: Des Technol 9(4):811–827

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