| Summary: | 碩士 === 長庚大學 === 資訊工程學研究所 === 96 === A gene regulatory network depicts compiled biological experimental results to model genes and their interactions amongst them. With the networking connection and transitive derivation, we may indirectly understand and even predict gene-gene and gene-disease relationship. Traditionally, a gene regulatory network models only the binary relationship among genes under single (transcription) factor, and thus is unable to portrait more realistic, comprehensive, and multi-factor interactions in different degrees among genes. The goal of this thesis is to construct and visualize in three-dimension a gene regulatory network that can illustrate gene-gene or gene-disease relationships under more than one experimental conditions, such as temperature, pH values, glucose levels, etc. The sample database for this research is a comprehensive and well-tuned yeast database. We employ VTK (visualization toolkit) to help construct the 3D model. The experimental results show that we have successfully represented the gene-gene and gene-disease using fuzzy logic and fuzzy inference mechanism under hyper-dimension of experimental conditions.
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