A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data
Open Access
- 18 January 2010
- journal article
- Published by Springer Nature in BMC Bioinformatics
- Vol. 11 (S1) , S5
Abstract
Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are commonly with extremely high feature-to-sample ratio. In addition to the essential objectives such as to reduce data noise, to reduce data redundancy, to improve sample classification accuracy, and to improve model generalization property, feature selection also helps biologists to focus on the selected genes to further validate their biological hypotheses.Keywords
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