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一种序列家族Profile HMM寻优的PSO

A PSO of Optimizing the Profile HMM of Sequence Family
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摘要 针对在训练一个序列家族的Profile HMM时经常会得到局部最优HMM的问题,也就是说找到全局最优Profile HMM的概率不高.通过分析训练一个序列家族Profile HMM方法的特点和Profile HMM本身的结构特点提出了一种结合多个局部最优或次优Profile HMM来寻找最优模型的PSO算法,以提高序列家族Profile HMM寻优的概率. Aiming at the problem of mostly obtaining a local optimized HMM, namely, the low probability of obtaining a global optimized HMM in training a Profile HMM of sequence family and by analyzing the characteristics of the method of training a sequence family Profile HMM and the structural characteristics of the Profile HMM itself, a PSO of optimizing the HMM is brought forward by combining several local optimized or hypo-optimized Profile HMMs to improve the probability to obtain a global ontimized HMM.
作者 陈雄峰
出处 《昆明理工大学学报(理工版)》 2007年第1期50-53,共4页 Journal of Kunming University of Science and Technology(Natural Science Edition)
关键词 PROFILE HMM PSO HMM模型 profile HMM PSO Hide Markov Model
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参考文献3

  • 1Sean R E.Profile hidden Markov models[J].Bioinformaties Review,1998,14(9):755-763.
  • 2Ran S.Algorithms for Molecular Biology[EB/OL].http://www.cs.tau.ac.il/~rshamir/algmb.html,2006-06-20.
  • 3Scan E.HMMER user's guide version 2.3.2[EB/OL].http://hmmer.wutl.edu,2006-07-19.

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