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Author:

Liu, Jian-Li (Liu, Jian-Li.) | Liu, Chun-Nian (Liu, Chun-Nian.)

Indexed by:

EI Scopus PKU CSCD

Abstract:

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.

Keyword:

Support vector machines Classification (of information) Support vector regression Pattern recognition DNA sequences Regression analysis Genes Logistic regression

Author Community:

  • [ 1 ] [Liu, Jian-Li]College of Computer Science and Technology, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Liu, Chun-Nian]College of Computer Science and Technology, Beijing University of Technology, Beijing 100022, China

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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2008

Issue: 8

Volume: 34

Page: 884-890

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 27

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