| dc.contributor.advisor | 薛慧敏 | zh_TW |
| dc.contributor.author (Authors) | 蘇慧玲 | zh_TW |
| dc.creator (作者) | 蘇慧玲 | zh_TW |
| dc.date (日期) | 2002 | en_US |
| dc.date.accessioned | 2009-09-14 | - |
| dc.date.available | 2009-09-14 | - |
| dc.date.issued (上傳時間) | 2009-09-14 | - |
| dc.identifier (Other Identifiers) | G0090354005 | en_US |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/30873 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 統計研究所 | zh_TW |
| dc.description (描述) | 90354005 | zh_TW |
| dc.description (描述) | 91 | zh_TW |
| dc.description.abstract (摘要) | 摘 要 在基因微陣列(DNA microarrays)的技術中，可同時得到數以千筆的資料，為了找出具有顯著差異的基因，一般會考慮控制整體誤差率(familywise error rate,FWE) 的多重比較方法(multiple comparison procedures,MCP)。但當基因數或假設檢定個數過多時，其檢定會產生不易拒絕虛無假設的結果，使得結論過於保守。為解決此一問題，Benjamini & Hochberg(1995)建議採用控制錯誤發現率(false discovery rate,FDR)的方法來替代整體誤差率FWE。且Tusher et al.(2001)在DNA微陣列顯著分析(significance analysis of microarrays,SAM)的文章中提出利用排列分佈(permutations)估計錯誤發現率FDR的方法。本篇論文將介紹Tusher et al.(2001)所提出的SAM估計錯誤發現率FDR的方法，且提出一修正SAM方法：SAMM。另外介紹兩種控制顯著水準的統計方法：SAME和SAMT(t檢定)。透過電腦模擬驗證四種方法其錯誤發現率FDR的表現。 | zh_TW |
| dc.description.abstract (摘要) | Abstract DNA microarray technology provides tools enable to simultaneously study thousands of genes. A conservative multiple comparison procedure (MCP) controlling the familywise type I error rate (FWE) is considered. However, the conservativeness of a MCP becomes more and more severe as the number of comparisons (genes) increases. Instead of FWE, another error rate, the false discovery rate (FDR), is suggested. Tusher et al.(2001) proposed a statistical procedure, the Significance Analysis of Microarrays (SAM), to analyze a microarray data set. In which, the conclusion is drawn at a specific threshold and the false discovery rate (FDR) of the conclusion is estimated by permutations. In this paper, inspired by the SAM, three other methods are proposed. The performances of these methods are investigated and compared through simulations. | en_US |
| dc.description.tableofcontents | 目 錄 第一章 緒論 .....................................1 第二章 SAM .....................................4 第一節 固定門檻值（Δ）之統計方法..................4 1.1 SAM .....................................4 1.2 SAMM ....................................7 第二節 固定顯著水準（α）之統計方法................8 2.1 SAME .....................................8 2.2 t檢定(SAMT)...............................8 第三節 錯誤發現率FDR之估計.......................8 第三章 模擬.....................................9 第一節 固定門檻值................................11 第二節 固定顯著水準..............................16 第四章 實例....................................21 第五章 結論………………………………………………24 參考文獻 ……………………………………………………25 附錄：實例程式 | zh_TW |
| dc.language.iso | en_US | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0090354005 | en_US |
| dc.subject (關鍵詞) | 整體誤差率 | zh_TW |
| dc.subject (關鍵詞) | 多重比較方法 | zh_TW |
| dc.subject (關鍵詞) | 錯誤發現率 | zh_TW |
| dc.title (題名) | DNA微陣列基因顯著性分析驗證 | zh_TW |
| dc.type (資料類型) | thesis | en |
| dc.relation.reference (參考文獻) | 參考文獻 | zh_TW |
| dc.relation.reference (參考文獻) | Benjamini, Y. & Hochberg, Y. (1995) “Controlling the false discovery rate: a practical and powerful approach to multiple testing”. J. R. Stat. Soc.Ser. B-Methodological, 57,289-300. | zh_TW |
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