Algorithm Based on Multiple Features for Recognition of E.coli Promoter Region
2011 ◽
Vol 48-49
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pp. 164-169
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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.
2014 ◽
Vol 556-562
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pp. 5017-5020
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2013 ◽
Vol 378
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pp. 478-482
Keyword(s):
Keyword(s):