利用微陣列資料探索大腸桿菌直接與間接之基因調控關係

Using Microarray Data to Explore Primary and Nonprimary Regulatory Events of Escherichia coli

楊西閔(Hsi-Min Yang)

指導教授 ： 劉力瑜

國立臺灣大學/生物資源暨農學院/農藝學研究所/碩士(2010年)

https://doi.org/10.6342/NTU.2010.00441

摘要

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。

關鍵字

微陣列晶片 ； 相關係數 ； 本質相關係數 ； 集群分析 ； 文氏圖

並列摘要

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.

並列關鍵字

Microarray ； Correlation Coefficient ； Coefficient of In- trinsic Dependence ； Cluster Analysis ； Venn Diagram

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