Explore On Gene Regulatory Networks Analysis And Reconstruction Algorithms Based On Information Theory

In recent years, as the Human Genome Project being completed, the application of DNA micro-array technology can make quantitative determination of thousands of genes in biological samples in the expression levels, so as to establish the foundation of doing research on the complicate and large scale of gene expression by using mathematical calculation. Some researchers had begun to draft and control the whole gene regulation of living cells. These gene regulatory networks are a display of the lives' function reconstruction in terms of genes expressing. Using a large amount of biological data by way for a large scale of genes expressing, we can combine with a certain amount of analyzing and calculating methods to construct the imitation system's dynamic behavior of the genes' interplay and observe their independent relationship. In contrast, using the established genes regulatory networks can help us further in biological experiment. Gene regulatory networks' research is based on molecule biology, nonlinear mathematics and information technology which can be considered the important content of post genome's researching.By researching of gene regulatory networks, we discovered the complicated life phenomenon in terms of the display between genes. It is also very important in functional gene research, and the advancing front of biological informatics. Genes chip technology's application in biological informatics provides a large amount of basic data for gene regulatory network to analyze and research.This thesis aims to do research in the aspect of gene regulatory networks. At first, we introduce some models which were applied in biological informatics, e.g. directed and undirected graphs model, Boolean network model, linear combination model, weighted matrix model, Bayesian network model, differential equations model and mutual information relevance network model. Then, another research is exploring on gene regulatory networks analysis and Reconstruction algorithms based on information theory, Final, we design and realize a mutual information regulatory network reconstruction system based on wxWidgets library and Boost library.