Classification of microarray data using support vector machine.

Tintu, T.; Venkatesan, P.

Electronic Journal of Pharmacology and Therapy; 2012; 5; 25-28.


Abstract: Micro arrays are useful to find out the interaction between diverse pathologic states at the gene level. By using micro arrays, researchers are able to measure the abundance of thousands of mRNA targets simultaneously. Identification and classification of set of genes out of these thousands is a problematic process. Major challenge in disease diagnosis from microarray data is the need for robust, accurate, classification models which are independent of the analysis techniques used and can combine data from different laboratories. The main aim of this study is to find the classification efficiency of SVM in expression data sets of M. tuberculosis .


Keywords: Microarray; Support vector classification

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