LIU Jian-li, LIU Chun-nian. Classification Method Based on SVM for Human Gene Sequences[J]. Journal of Beijing University of Technology, 2008, 34(8): 884-890.
    Citation: LIU Jian-li, LIU Chun-nian. Classification Method Based on SVM for Human Gene Sequences[J]. Journal of Beijing University of Technology, 2008, 34(8): 884-890.

    Classification Method Based on SVM for Human Gene Sequences

    • In order to determine whether a given DNA sequence is a intergenic or a gene region,training features are extracted from DNA sequences based on linguistics method,and gene and intergenic regions of 22# chromosome are classified with the Support Vector Machine(SVM) technique.The prediction accuracy of classifiers can reach more than 85% without any information in biologic field.Correspondingly,although Binary Logistic Regression(BLR) technique can get also relatively high classification accuracy,the training time of SVM is greatly preferable to BLR's.
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