Paper Title:
Algorithm Based on Multiple Features for Recognition of E.coli Promoter Region
  Abstract

A promoter plays an important role in the transcription of DNA sequences; its recognition is very significant. This paper concerns about the problem of extracting information from a given DNA region and to make predictions whether it contains a promoter. We incorporate three types of information to access the significance of a promoter, information on content and information on structure, and then these information are used in a trained nonlinear classifier. The results show that our method performs well and achieve 13.4% average error rate on positive and negative data from non-coding regions and 17.0% average error rate on positive and negative data from coding regions.

  Info
Periodical
Edited by
Zhixiang Hou
Pages
164-169
DOI
10.4028/www.scientific.net/AMM.48-49.164
Citation
W. Ao, J. Yang, W. Q. Xiang, X. J. Liu, "Algorithm Based on Multiple Features for Recognition of E.coli Promoter Region", Applied Mechanics and Materials, Vols. 48-49, pp. 164-169, 2011
Online since
February 2011
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