Enhancing Cancerous Gene Selection and Classification for High-Dimensional Microarray Data Using a Novel Hybrid Filter and Differential Evolutionary Feature Selection
Compared to the previous works, the proposed methods accomplished better improvement percentages on Brain and CNS datasets, comparable improvement percentages on Lung dataset, and less improvement percentages on Breast dataset.
Authors
- Faisal Binzagr (ORCID: https://orcid.org/0000-0001-9560-092X)
- Anas W. Abulfaraj (ORCID: https://orcid.org/0000-0003-3277-4505)
- Entisar Alkayal (ORCID: https://orcid.org/0000-0002-6617-1051)
- Waleed Ali (ORCID: https://orcid.org/0000-0003-3746-4274)
- Arshad Hashmi (ORCID: https://orcid.org/0000-0003-1136-6123)
Institutions
- King Abdulaziz University (SA)
Publication Details
- Journal
- Cancers
- Published
- 2024-11-22
- DOI
- https://doi.org/10.3390/cancers16233913
- Citations
- 8
- Primary Topic
- Gene expression and cancer classification
- Type
- article
- Field-Weighted Citation Impact
- 1.87
Funders
- King Abdulaziz University