Multilevel Feature Selection Method for Improving Classification of Microarray Gene Expression Data
Microarray gene expression profiles provide valuable answers to a variety of problems, and contributes to advances in clinical medicine. Gene expression data typically has a high dimension and a small sample size. Gene selection from microarray gene expression data is a challenge due to high dimensi...
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| Published in: | International Journal of Scientific Research in Computer Science, Engineering and Information Technology pp. 176 - 183 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
11.02.2023
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| ISSN: | 2456-3307, 2456-3307 |
| Online Access: | Get full text |
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