基于特征综合的启动子识别方法OACSCDCSTPCD
Promoter recognition method based on integrated features
针对真核生物启动子识别的高假阳性现状,提出了一种基于特征综合的真核启动子识别方法.通过提取人类启动子核苷酸联体统计信息作为特征,并使用主成分分析法进行主元提取.将10维主成分特征与2维CpG岛特征进行特征综合,共同作为BP神经网络的输入来识别启动子.对人类基因序列启动子的预测结果表明,不但有效地减小了假阳性,而且具有较好的敏感性和特异性.
In order to improve the situation of high false positive in eukaryotic promoter recognition, a promoter predication method based on integrate-features is presented. The method employs human promoter codon and pentamer information as features, and extracts principal components by PC A. The 10-dimension features and 2-dimension CpG island information, based on integrated features, are put into the BP neural network as classifier. The experimental results show …查看全部>>
刘咏梅;董宜堃
哈尔滨工程大学计算机科学与技术学院,哈尔滨150001哈尔滨工程大学计算机科学与技术学院,哈尔滨150001
信息技术与安全科学
启动子启动子识别主成分分析CpG岛反向传播(BP)神经网络
promoter promoter recognition principal component analysis CpG island Back Propagation (BP) neural network
《计算机工程与应用》 2012 (11)
201-204,4
教育部留学回国人员科研启动基金资助项目中央高校基本科研业务费专项资金自由探索项目(No.HEUCF100604).
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