| DNA序列特征提取方法研究 |
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| 引用本文： | 蔡春,苗立峰,邓乃扬.DNA序列特征提取方法研究[J].北京联合大学学报(自然科学版),2008,22(4). |
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| 作者姓名： | 蔡春 苗立峰 邓乃扬 |
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| 作者单位： | 北京联合大学,应用文理学院,北京,100083;中国农业大学,理学院,北京,100083 |
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| 基金项目： | 国家自然科学基金
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| 摘 要： | 针对DNA序列分类问题提出了两种特征提取方法,利用可分支持向量分类机间隔大、推广能力强的原理建立了DNA序列特征提取方法优劣的评价标准,利用该标准把本文的两种特征提取方法进行了比较,且跟以往的DNA序列特征提取方法进行了比较.实验表明,提出的两种特征方法得到的DNA序列特征完全能够代表DNA序列,对已知分类样本的预测率为100%,且此特征提取方法有很强的推广能力.
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| 关 键 词： | DNA序列 特征提取 支持向量分类机 预测率 |
Feature Selection Research on DNA Sequence |
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| CAI Chun,MIAO Li-feng,DENG Nai-yang.Feature Selection Research on DNA Sequence[J].Journal of Beijing Union University,2008,22(4). |
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| Authors: | CAI Chun MIAO Li-feng DENG Nai-yang |
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| Institution: | CAI Chun~1,MIAO Li-feng~2,DENG Nai-yang~2(1.College of Arts & Science,Beijing Union University,Beijing 100083,China,2.College of Science,China Agricultural University,China) |
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| Abstract: | Two methods for feature selection are put forward for DNA sequences label problem.The feature selection criteria are proposed by seperated support vector machines theory.Many feature selection methods are compared accordingly.The results: The two feature selection methods presented in this paper can classify the known label DNA sequences in 100% accuracy and get high generalization precision. |
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| Keywords: | DNA sequence feature selection support vector classifier prediction accuracy |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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