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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/28239

Title: Promoter Prediction Strategy Based on Genetic-Score Algorithm
Authors: Cheng-Fa Cheng;Yi-Ren Chen;Ching-Yuan Cheng
Contributors: NTOU:Department of Communications Navigation and Control Engineering
Keywords: Promoter prediction;score method;genetic algorithm;self-recognition;cross-validation
Date: 2008
Issue Date: 2011-10-21T02:36:25Z
Publisher: 2008 National Symposium on System Science and Engineering (NSSSE '08)
Abstract: Abstract:This paper investigates an optimization method for promoter sequences prediction based on score model and genetic algorithm. First, a simple, fast and sensitive model for identifying and predicting promoter sequences which have non-random statistical properties and therefore biologically active has been developed. Then in some limit for Score Method we will supply a new Genetic-based Score Method (GSM) which has more sensitive and can make good recognition rate for more common situation. That is, an optimization processing for the promoter prediction by real-valued genetic algorithm which composes of real-valued crossover and mutation operators constructed with the information of real number field and objective function is proposed. Simulation results are included to demonstrate the proposed idea.
URI: http://ntour.ntou.edu.tw/handle/987654321/28239
Appears in Collections:[通訊與導航工程學系] 演講及研討會

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