| Summary: | 碩士 === 國立虎尾科技大學 === 資訊管理研究所 === 97 === This project is to investigate the issue of reconstructing gene regulatory networks (GRNs) from time-series microarray data. Four typical regulatory relationships depicted in the literature are active regulation without time delay, suppress regulation without time delay, active regulation with time delay, and suppress regulation with time delay. It is to develop the sequential approaches to mine out the regulatory relationship between any pairs of genes with highly accuracy rate. Due to the invention of the microarray technology, the tremendous of gene express time-series data are able to be obtained more easily. The biologists are trying to find out the exact regulatory relationship between to pairs of genes so as to reconstruct the gene regulatory networks. It is known GRNs is a difficult research work since it is hard to develop good approaches which can predict the regulatory relationships between any pairs of genes accurately. So, how to mine out the regulatory relationships between genes effectively and efficiently become the most important issues in the research area of biological microaray analysis. In the literature, it seems that no any approach can be provided to mine out the different four types of gene regulatory relationships. In this study, several tasks are to be achieved. It includes that the data noise can be processed adequately so that the gene expression profiles can be formed by the proposed approaches more accurately. Based on the gene expression profiles, the important features of the profile can be extracted. While the important features of profile are obtained, the gene regulatory relationship can be dig out by the proposed approach more perfectly. Moreover, The time-delay issue is included in the studies of gene regulation. The complete approaches are proposed and developed for mining three types of gene regulatory relationships. It is wished that the proposed approach in this study can improve the prediction accurate and also enhance the researchers’ interests of this area.
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