Method for modeling gene regulation network based on improved structure expectation maximization algorithm
基于改进SEM算法的基因调控网络构建方法

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...