%0 Journal Article
%T Method for modeling gene regulation network based on improved structure expectation maximization algorithm<br>基于改进SEM算法的基因调控网络构建方法
%A GE Ling-ling
%A WANG Hao
%A YAO Hong-liang
%A <br>葛玲玲
%A 王浩
%A 姚宏亮
%J 计算机应用研究
%D 2010
%I 
%X Dynamic Bayesian network(DBN) is a powerful moedling tool for gene rugulation network.Missing data in building gene regulation network is better dealt with SEM(Bayesion structure expectation maximization) algorithm,however,the result of learning by SEM algorithm has strong dependence on the initial parameters.This paper proposed an improver SEM algorithm,which randomly generated a number of candidate initial parameters and selected the best parameter as whole model's initial parameter to execute basic SEM a...
%K gene rugulation network
%K dynamic Bayesian network(DBN)
%K Bayesian structure expectation maximization algorithm<br>基因调控网络
%K 动态贝叶斯网络
%K 贝叶斯结构期望最大化算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=6AD4D3986AA3612CA130BD3347FFCB4C&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=0B39A22176CE99FB&sid=0A0BD3F594F876C0&eid=30F3EEEA29E34EE7&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=13