The Construction And Application Research Of Complex Gene Logical Networks

Gene logic network is a hot field in international academe, and has penetrated into several fields, mathematics and physics, life, engineering, and so on. Data analysis and theory methods have become important for exploring biological mechanism in theoretical biology research. Especially, this method is significant for the study of complex gene function system.2004, Bowers used higher order logic relationship to decipher protein network organization, which is a systemic method called logic analysis of phylogenetic profiles(LAPP). LAPP is a data modeling and different from traditional computational method of modeling gene logic networks. This computational approach identifies logic relationships of the elements (or components) in complex networks through the logic analysis of their expression data. The method can be used to infer functional relationships of two associated proteins to one another. It is important for discovering the new function mechanism of the protein. It is convenient for the regulation of gene through the network.My thesis utilizes the method of LAPP Bowers proposed to construct Arabidopsis thaliana shoot gene logic networks under different stimulus and analyze dynamics of the network, as follows:In the theoretical aspect of gene logic networks, improved original algorithm of uncertainty coefficient of the logic relation, and proposed the supported value to gets more believable result with this. And, we gave the general process that resolves an actual problem through the gene logic network.This article applied the proposed theory and the algorithms to Arabidopsis thaliana shoot gene expression data. In Arabidopsis thaliana gene expression data, we compare different responses mechanism under different stimulus, decide inference method of unknown protein function, and logical relationship between shoot genes. We study its dynamics behaviors and gene regulatory path.All results indicate that the different network structure shows that structure decide function. It proved that our methods make sense and worth to study along.