Mohd Saberi, Mohamad and Sigeru, Omatu and Safaai, Deris and Yoshioka, Michifumi and Afnizanfaizal, Abdullah and Zuwairie, Ibrahim (2013) An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes. Algorithms for Molecular Biology, 8 (15). pp. 1-11. ISSN 1748-7188. (Published)
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Abstract
Gene expression data could likely be a momentous help in the progress of proficient cancer diagnoses and classification platforms. Lately, many researchers analyze gene expression data using diverse computational intelligence methods, for selecting a small subset of informative genes from the data for cancer classification. Many computational methods face difficulties in selecting small subsets due to the small number of samples compared to the huge number of genes (high-dimension), irrelevant genes, and noisy genes.
Item Type: | Article |
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Uncontrolled Keywords: | Enhancement; Cancer classes; Gene selection; Binary particle swarm |
Subjects: | T Technology > TJ Mechanical engineering and machinery |
Faculty/Division: | Faculty of Mechanical Engineering |
Depositing User: | Mrs. Neng Sury Sulaiman |
Date Deposited: | 10 Dec 2019 01:32 |
Last Modified: | 10 Dec 2019 01:32 |
URI: | http://umpir.ump.edu.my/id/eprint/25365 |
Download Statistic: | View Download Statistics |
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