Microarray Data Classification Using Support Vector Machine

DNA microarrays allow biologist to measure the expression of thousands of genessimultaneously on a small chip. These microarrays generate huge amount of data and newmethods are needed to analyse them. In this paper, a new classification method based onsupport vector machine is proposed. The proposed method is used to classify geneexpression data recorded on DNA microarrays. The proposed method is tested by usingbenchmark datasets and it is found that the proposed method is faster than neural networkand the classification performance is not less than neural network.