2008 National Symposium on System Science and Engineering (NSSSE '08)
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.