Cancer Classification in Microarray Data using a Hybrid Selective Independent Component Analysis and ϑ-Support Vector Machine Algorithm
Microarray data have an important role in identification and classification of the cancer tissues. Having a few samples of microarrays in cancer researches is always one of the most concerns which lead to some problems in designing the classifiers. For this matter, preprocessing gene selection techn...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Medknow Publications
2014-01-01
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| Series: | Journal of Medical Signals and Sensors |
| Subjects: | |
| Online Access: | http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2014;volume=4;issue=4;spage=291;epage=298;aulast=Saberkari |