【摘要】 为了判断一个给定的DNA序列片段是基因序列还是间区序列,基于语言学方法提取了DNA序列特征,通过支持向量机(SVM)训练方法,实现了对人类22号染色体的DNA序列中的基因和基因间区序列的分类.在不依赖于任何生物领域知识的前提下,该方法能得到85%以上的分类精度.相对于SVM分类方法,虽然二元Logistic回归(BLR)方法也能达到较高的分类精度,但在训练时间上SVM方法远优于BLR方法.更多还原

【Abstract】 In order to determine whether a given DNA sequence is a intergenic or a gene region,training features are extracted from DNA sequences based on linguistics method,and gene and intergenic regions of 22~# chromosome are classified with the Support Vector Machine(SVM)technique.The prediction accuracy of classifiers can reach more than 85% without any information in biologic field.Correspondingly,although Binary Logistic Regression(BLR)technique can get also relatively high classification accuracy,the training time of SVM is greatly preferable to BLR’s.更多还原