The Research on Identification of Gene Splice Sites by Support Vector Machine - Journal of Biomedical Science and Engineering

JBiSE > Vol.9 No.10, September 2016

The Research on Identification of Gene Splice Sites by Support Vector Machine ()

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DOI: 10.4236/jbise.2016.910B007 1,322 Downloads 2,246 Views Citations

Author(s)

Hongbin Li, Guangzhong He

Affiliation(s)

Medical School, Xianyang Vocational and Technical College, Xianyang, China.

ABSTRACT

The recognition of splicing sites is a very important step in the eukaryotic DNA se-quence analysis. Many scholars are working hard to improve the accuracy of identifi-cation. Our team carried out research on this issue based on support vector machine, which is one famous algorithm in data mining. The training and testing data is from the HS3D dataset, and excellent accuracy rate is achieved by nucleic acid sequence orthogonal coding and RBF core function, and the cross validation experiment hints that base pattern information is mainly located within 20 nucleotides upstream and downstream splice sites.

KEYWORDS

Splicing Sites, Recognition, Support Vector Machine

Share and Cite:

Li, H. and He, G. (2016) The Research on Identification of Gene Splice Sites by Support Vector Machine. Journal of Biomedical Science and Engineering, 9, 53-57. doi: 10.4236/jbise.2016.910B007.

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