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[Promoter recognition using genetic algorithms and neural network].

Authors
Type
Published Article
Journal
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Publication Date
Volume
23
Issue
4
Pages
730–733
Identifiers
PMID: 17002095
Source
Medline
License
Unknown

Abstract

A new model is developed to recognize eukaryotic promoter sequences from non-promoter sequences based on genetic algorithms and neural network in this paper. Experiment results demonstrate the effectiveness of the system to recognize the promoter sequences on the training set and on the test set. The mean recognition rate is as high as 99% on the training set and 97% on the test set, which shows the algorithms has great prospect application in promoter recognition.

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