臺灣大學: 農藝學研究所劉力瑜楊西閔Yang, Hsi-MinHsi-MinYang2013-03-272018-07-112013-03-272018-07-112010http://ntur.lib.ntu.edu.tw//handle/246246/253696近年來，微陣列晶片(Microarray)常用來同時檢驗大量的基因表現值並建立基因調控網路。本篇研究則是利用公開下載的大腸桿菌的微陣列資料庫，對於不同的實驗條件下，探討其目標基因與其下游直接與間接調控基因的相關性。我們利用相關係數(Correlation Coefficient)與本質相關係數(Coefficient of Intrinsic Dependence，CID)來檢驗直接與間接調控關係基因的相關性，配合集群分析(Cluster Analysis)與文氏圖(Venn Diagram)，希望可以從這些統計分析中找到微陣列資料上的數據特性，以應用在預測未知的調控關係。In recent years, microarray have been widly used to simultaneously monitor expression of a large number of genes and to establish gene regulatory networks.In this study , we use the public-available of E. coli microarray database, to rediscovery the regulation events between the target genes and their downstream targets.We use the coefficient of intrinsic dependence and correlation indentify the genes regulated by modE.We also use the cluster analysis to visualize the possible patterns of expression under different regulatory mechanisms. The results may provide insight into the prediction of gene regulatory mechanisms in the future.993464 bytesapplication/pdfen-US微陣列晶片相關係數本質相關係數集群分析文氏圖MicroarrayCorrelation CoefficientCoefficient of In- trinsic DependenceCluster AnalysisVenn Diagramhttp://ntur.lib.ntu.edu.tw/bitstream/246246/253696/1/ntu-99-R96621205-1.pdf