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    政大機構典藏 > 商學院 > 統計學系 > 學位論文 >  Item 140.119/67588
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/67588


    Title: 運用充分資料縮減法於基因組分析
    Application of the Sufficient Dimension Reduction to Gene Set Analysis
    Authors: 蔡志旻
    Tsai, Chih Min
    Contributors: 薛慧敏
    蔡志旻
    Tsai, Chih Min
    Keywords: 外顯特徵
    基因組分析
    切片平均變異數估計法
    邊際維度檢定法
    Date: 2013
    Issue Date: 2014-07-21 15:36:41 (UTC+8)
    Abstract: 生物現象多是由許多基因共同作用產生的結果,以基因組分析方法探討外顯特徵變數與基因組的相關性將更能幫助研究人員了解生物體的作用機制。目前已發展的基因組分析方法大多是針對離散型態的外顯特徵變數,在臨床醫學上,很多疾病的外顯特徵為連續型變數。本研究之目的即為發展運用在連續型外顯特徵變數的基因組分析方法。本文將考慮切片平均變異數估計法進行充分維度縮減的方法,原先被用來決定原始資料被縮減的程度之邊際維度檢定法將被運用於基因組分析方法。除了原有的邊際維度檢定法之外,我們另提出一改良的邊際維度檢定法,並以排列重抽法獲得這兩種檢定方法之排列顯著值。本文將透過電腦模擬以及實例分析來評估兩種邊際維度檢定法,同時也將列入Dinu等學者(2013)所發展的線性組合檢定法之結果以作為比較。
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    徐碩亨、薛慧敏 (2013) Application of sufficient dimension reduction to global test.國立政治大學統計學系碩士論文,台北市。
    Description: 碩士
    國立政治大學
    統計研究所
    101354015
    102
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0101354015
    Data Type: thesis
    Appears in Collections:[統計學系] 學位論文

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