TFBS identification based on genetic algorithm with combined representations and adaptive post-processing
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摘要Motivation: Identification of transcription factor binding sites (TFBSs) plays an important role in deciphering the mechanisms of gene regulation. Recently, GAME, a Genetic Algorithm (GA)-based approach with iterative post-processing, has shown superior performance in TFBS identification. However, the basic GA in GAME is not elaborately designed, and may be trapped in local optima in real problems. The feature operators are only applied in the post-processing, but the final performance heavily depends on the GA output. Hence, both effectiveness and efficiency of the overall algorithm can be improved by introducing more advanced representations and novel operators in the GA, as well as designing the post-processing in an adaptive way.
著者Chan TM, Leung KS, Lee KH
期刊名稱Bioinformatics
出版年份2008
月份2
日期1
卷號24
期次3
出版社OXFORD UNIV PRESS
頁次341 - 349
國際標準期刊號1367-4803
電子國際標準期刊號1460-2059
語言英式英語
Web of Science 學科類別Biochemical Research Methods; BIOCHEMICAL RESEARCH METHODS; Biochemistry & Molecular Biology; Biotechnology & Applied Microbiology; BIOTECHNOLOGY & APPLIED MICROBIOLOGY; Computer Science; Computer Science, Interdisciplinary Applications; Mathematical & Computational Biology; MATHEMATICAL & COMPUTATIONAL BIOLOGY; Mathematics; Statistics & Probability

上次更新時間 2021-23-02 於 00:42