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The researches of module of co-regulated genes act as important role in research of gene regulatory networks. Present analysis of module of co-regulated genes generally have 2 problems: The first one is that the co-expressed genes are generally clustered as the co-regulated genes, but recent studies show that only 50% genes are co-regulated when their Spearman correlative coefficients are bigger than...
Recent researches on estimation of parameters of gene regulatory networks by differential equations generally based on Kalman Filtering Model, it makes assumptions that the analyzed system is linear. However, gene regulatory networks are obviously non-linear system, so great deviation error will happen. Here we present a method to estimate the parameters and hidden variables of gene regulatory networks...
Research of gene regulatory network is critically important for diagnosis and therapy of tumor. We propose a method on construction of gene regulatory network and selection of feature genes on cancer. Firstly we selected 277 genes whose expressions differ greatly between tumor tissues and normal tissues ,then collected multiple group feature genes using Peano Count Tree; Secondly we picked the gene...
Dynamic Bayesian network (DBN) is an important approach for predicting gene regulatory networks from microarray data. However, three problems greatly reduce the effectiveness of current DBN methods, including long computational time, instable structures, and low accuracy. Here we proposed a method designed to predict gene regulatory networks based on Genetic Algorithm (GA) of Genetic Equivalence Search...
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