Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Combining Greedy Method and Genetic Algorithm to Identify Transcription Factor Binding Sites
HIS '06 Proceedings of the Sixth International Conference on Hybrid Intelligent Systems
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Gene expression is the process of decoding the information in a DNA sequence into a protein. In this process, an enzyme called RNA-polymerase transcribes DNA into messenger-RNA, which is translated into protein. The determinant factors to decide which protein belongs to each cell and how much of it will be produced are the concentration of mRNA, and the frequency mRNA is translated. Operators and regulators, called transcription factors, control the transcription process. The gene regulation network consists of determining how and which transcription factors are positioned in some DNA sequence. In this work, we explore the ability of genetic algorithms to search in complex spaces to find predictions of possible units of genetic information. We propose four approaches to solve this problem, trying to identify the pertinent set of parameters to be used. We use E. colisigma 70 promoters as a study of case.