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| 研究生： |
王姵力 Wang, Pei-li |
|---|---|
| 論文名稱： |
多時期微陣列資料的基因集分析 Mining Gene Sets from Time-Course Microarray Data |
| 指導教授： |
詹世煌
Chan, Shih-Huang |
| 學位類別： |
碩士 Master |
| 系所名稱： |
管理學院 - 統計學系 Department of Statistics |
| 論文出版年： | 2009 |
| 畢業學年度： | 97 |
| 語文別： | 英文 |
| 論文頁數： | 35 |
| 中文關鍵詞： | 基因表現值 、多期型微陣列資料 、途徑 、基因組分析 |
| 外文關鍵詞： | time-course microarray data, gene expression, pathway, gene set analysis |
| 相關次數： | 點閱：73 下載：1 |
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大部份的生物現象或疾病表現通常是由許多基因一起發揮作用產生的結果。基因集分析是一個用來檢驗基因集中所有基因表現量和生物現象間關聯性的方法。Gene Set Enrichment Analysis (GSEA)是一種基因集分析方法，首先由Mootha et al.於2003年提出，之後Subramanian et al. (2005)、Tian et al. (2005)及Jiang and Gentleman (2007)陸續對GSEA法有所修正改良。GSEA法是利用基因資料庫所得之基因組，來評估基因組在不同反應上的顯著性。本文直接由多期型的microarray資料找出隨著環境變化而有類似行為的基因集，提出一個尋找有意義之基因集的分析程序，此有助於了解隨著環境變化基因彼此間的互動模式，此互動模式將以已知之基因路徑分析和wet-lab實驗來驗證。
Most of the biological phenomena and diseases are resulted from the interactions of multiple genes. Gene set analysis is an approach to examine the differential expressions of a gene set associated with biological phenotypes. Gene Set Enrichment Analysis (GSEA), one kind of gene set analysis, first proposed by Mootha et al. in 2003, and then Subramanian et al. (2005), Tian et al. (2005), Jiang and Gentleman (2007) had the revisions to improve to GSEA in succession. Given a pre-defined set of genes, the goal of GSEA is to determine whether the specified gene set is associated with the phenotype of interest. This thesis intended to investigate the mining of meaningful gene sets from a time-course microarray data. An efficient process in choosing meaningful gene sets was built. The similar behavior genes as environmental change and the interactive network of different behavior genes are discovered by this process. A pathway analysis and a wet-lab experiment are conducted to verify the hypothetical interactive network.
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校內：2010-07-02公開校外：2010-07-02公開