Sharma, Alokanand and Paliwal, K.K. and Imoto, S. and Miyano, S. (2014) A feature selection method using improved regularized linear discriminant analysis. Machine Vision and Applications, 25 (3). pp. 775-786. ISSN 0932-8092
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Abstract
Investigation of genes, using data analysis and computer-based methods, has gained widespread attention in solving human cancer classification problem. DNA microarray gene expression datasets are readily utilized for this purpose. In this paper, we propose a feature selection method using improved regularized linear discriminant analysis technique to select important genes, crucial for human cancer classification problem. The experiment is conducted on several DNA microarray gene expression datasets and promising results are obtained when compared with several other existing feature selection methods.
| Item Type: | Journal Article |
|---|---|
| Subjects: | Q Science > QC Physics T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics |
| Depositing User: | Repo Editor |
| Date Deposited: | 04 Mar 2015 04:30 |
| Last Modified: | 08 Sep 2016 05:06 |
| URI: | https://repository.usp.ac.fj/id/eprint/8000 |
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