Over the past few decades rapid developments in genomic and other molecular research technologies and developments in information technologies have combined to produce tremendous amounts of information related to molecular biology. It is not possible to research on a large number of genes using traditional methods. DNA Microarray is one such technology which enables to monitor the expression levels for tens of thousands of genes in parallel . A common task with Microarray data is to determine which genes are differentially expressed between two samples obtained under two different conditions. To solve this problem several Statistical methods have been proposed. The Support Vector Machine is one of the most efficient & widely used statistical method for Microarray classification. In this paper we have classified leukemia dataset by using support vector machine under two conditions and also showed the performance of different type of kernels.
Patnaik, Smita and Swarnkar, Tripti
"Microarray Analysis Using Statistical Approach,"
International Journal of Computer and Communication Technology: Vol. 3:
3, Article 5.
Available at: https://www.interscience.in/ijcct/vol3/iss3/5