| ANN-CE:一种预测DNA结合位点的改进神经网络方法 |
| |
| 引用本文： | 徐东,王翼飞.ANN-CE:一种预测DNA结合位点的改进神经网络方法[J].应用科学学报,2005,23(2):187-191. |
| |
| 作者姓名： | 徐东 王翼飞 |
| |
| 作者单位： | 上海大学理学院, 上海 200444 |
| |
| 基金项目： | 国家高技术研究发展计划(863计划)资助项目(2002AA234021) |
| |
| 摘 要： | 基于误差平方和最小原则的神经网络方法并不适于解决DNA结合位点的预测问题,提出了一种改进的神经网络方法(ANN-CE)被用于对DNA结合位点进行预测.这是一个以交叉熵函数为目标函数的三层反向传播神经网络.计算结果表明,与基于误差平方和最小原则的同规模BP网络相比,其对DNA结合位点预测的敏感性Sn(sensitivity)和特异性Sp(specificity)可分别提高11.40%和11.91%.
|
| 关 键 词： | 基因调控 DNA结合位点 BP神经网络 交叉熵 |
| 文章编号： | 0255-8297(2005)02-0187-05 |
| 收稿时间： | 2003-12-15 |
| 修稿时间： | 2004-02-16 |
ANN-CE: An Improved Neural Network Method for Predicting DNA Binding Sites |
| |
| XU Dong,WANG Yi-fei.ANN-CE: An Improved Neural Network Method for Predicting DNA Binding Sites[J].Journal of Applied Sciences,2005,23(2):187-191. |
| |
| Authors: | XU Dong WANG Yi-fei |
| |
| Institution: | College of Sciences, Shanghai University, Shanghai 200444, China |
| |
| Abstract: | The neural network technology has achieved great success in the field of bio-sequence analysis. But a neural network based on MSSE is not the final solution to the problem of predicting DNA binding sites. In this paper, An improved neural network method, ANN-CE, to predict DNA binding sites is presented. It is a three layered back-propagation neural network in which the error function is a cross entropy function. The result shows that the predicted sensitivity and specificity of ANN-CE increased by 11.40% and 11.91% respectively compared with the back-propagation neural network based on MSSE with the same architecture. |
| |
| Keywords: | gene regulation DNA binding site BP neural network cross entropy |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《应用科学学报》浏览原始摘要信息 |
| 点击此处可从《应用科学学报》下载免费的PDF全文 |
