臺灣博碩士論文加值系統

cDNA微陣列實驗數據其變異(Variation)的來源有很多，有的是實驗者真正感興趣的，有的是實驗過程中無可避免的因子造成的，實驗者對這一部份是不感興趣的。在對實驗數據作任何統計分析之前，要先想辦法把這不感興趣的部分移除，這個程序稱為「歸一化(Normalization)」。歸一化的主要目的是為了讓系統性實驗變異的影響減至最小，更容易區分出基因之間的差異性。目前「歸一化」的方法有很多，本論文主要探討如何利用「歸一化」將cDNA微陣列實驗中一些系統性實驗因子效應去除，使得後續統計分析工作更為準確。本文並以Ideker et al.(2000)的實際實驗數據，研究不同的歸一化方法，對基因表現顯著性的檢定會造成多大的差異。

目錄
摘要……………………………………………………………………………………
第一章：前言…………………………………………………………………………1
第二章：cDNA微陣列的原理與實驗流程……………………………………………3
2.1：cDNA微陣列的原理………………………………………………….3
2.2：cDNA微陣列的實驗流程……………………………………………..4
第三章：cDNA微陣列的變異來源與實驗設計………………………………………7
3.1：變異因子………………………………………………………………7
3.2：實驗設計……………………………………………………………..9
3.3：模式…………………………………………………………………..10
第四章：歸一化………………………………………………………………………13
4.1：歸一化方法………………………………………………………….13
4.2：歸一化方法的比較…………………………………………………..16
4.3：MC圖與MG圖…………………………………………………..…20
第五章：檢定…………………………………………………………………………24
5.1：檢定方法：Error Model…………………………………….………24
5.2：歸一化對檢定的影響……………………………………….………26
第六章：結論…………………………………………………………………………29
參考文獻：……………………………………………………………………………30
附錄A：……………………………………………………………………………….32
附錄B：……………………………………………………………………………….32

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