| 基于SVM分类机的一种DNA序列判别方法 |
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| 引用本文： | 徐健,李柏年,张孔生,蒋利华.基于SVM分类机的一种DNA序列判别方法[J].安徽理工大学学报(自然科学版),2009,29(1). |
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| 作者姓名： | 徐健 李柏年 张孔生 蒋利华 |
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| 作者单位： | 1. 安徽财经大学统计与应用数学学院,安徽,蚌埠,233030
2. 安徽理工大学理学院,安徽,淮南,232001 |
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| 基金项目： | 国家自然科学基金资助项目(10501009);;安徽财经大学青年基金资助项目(ACKYQ0843ZC) |
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| 摘 要： | 针对DNA序列类别的分属问题，提出采用支持向量机（Support Vector Machine，SVM）的方法进行分类。根据SVM分类器的要求建立特征属性空间，首先由每个DNA中4个碱基的含量得到4个特征属性，然后在此空间中扩充DNA序列长度的属性，最后根据SVM分类器对已知的DNA分类样本做训练得到分类超平面。利用此超平面检测所要分类的DNA序列，实验结果表明这种方法具有很好的分类精度。
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| 关 键 词： | SVM DNA分类 特征属性空间 分类超平面 |
A Classification Method of DNA Sequence Based on Support Vector Machine |
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| XU Jian,LI Bai-nian,ZHANG Kong-sheng,JIANG Li-hua.A Classification Method of DNA Sequence Based on Support Vector Machine[J].Journal of Anhui University of Science and Technology:Natural Science,2009,29(1). |
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| Authors: | XU Jian LI Bai-nian ZHANG Kong-sheng JIANG Li-hua |
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| Institution: | 1.School of Statistics and Applied Mathematics;Anhui University of Finance and Economics;Bengbu Anhui 233030;China;2.School of Sciences;Anhui University of Science and Technology;Huainan Anhui 232001;China |
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| Abstract: | A new classification method of DNA sequence based on SVM was presented.The feature attribute space was established according to requirement of SVC.At first,four feature attributes were built by content of DNA's four bases.By increasing length attribute of DNA sequence in the space to extent the feature attribute space.Finally,the classification of hyperplane was obtained on the basis of available samples training by using SVC in the feature attribute space.The DNA sequence to be classified was verified by t... |
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| Keywords: | SVM classification of DNA feature attribute space classification hyperplane |
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