離群比例之基因表現分析

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DC Field	Value	Language
dc.contributor.author	徐國誠	en_US
dc.contributor.author	Shu, Guo - Cheng	en_US
dc.contributor.author	陳鄰安	en_US
dc.contributor.author	Chen, Lin - An	en_US
dc.date.accessioned	2014-12-12T01:58:00Z	-
dc.date.available	2014-12-12T01:58:00Z	-
dc.date.issued	2011	en_US
dc.identifier.uri	http://140.113.39.130/cdrfb3/record/nctu/#GT079926519	en_US
dc.identifier.uri	http://hdl.handle.net/11536/49928	-
dc.description.abstract	從有病的樣本中透過離群值的檢測，發現有影響力的基因是目前一個很新也很重要的基因表現分析，延續Chen. Chen and Chan(2010) 離群平均的想法，我們開發了以迴歸模型為基礎的離群比例的漸近分佈，比較其檢定力後發現，以這離群估計為基礎的測試是非常有競爭力，並有望檢測母體背後分佈的轉變。	zh_TW
dc.description.abstract	Discovering the influential genes through the detection of outliers in samples from disease group subjects is a very new and important approach for gene expression analysis. Extended the outlier mean of Chen . Chen and Chan(2010). we develop the asymptotic distribution of the outlier proportion for linear regression model? Power comparison shows that tests based on this outlier estimator is very competitive and promising in detecting a shift of parent tail distribution.	en_US
dc.language.iso	zh_TW	en_US
dc.subject	癌症離群比例分析	zh_TW
dc.subject	基因表現	zh_TW
dc.subject	離群的平均	zh_TW
dc.subject	離群的比例	zh_TW
dc.subject	迴歸模型	zh_TW
dc.subject	Cancer outlier profile analysis	en_US
dc.subject	Gene expression	en_US
dc.subject	Outlier mean	en_US
dc.subject	Outlier proportion	en_US
dc.subject	Regression model	en_US
dc.title	離群比例之基因表現分析	zh_TW
dc.title	Outlier Proportion for Gene Expression Analysis	en_US
dc.type	Thesis	en_US
dc.contributor.department	統計學研究所	zh_TW
Appears in Collections:	Thesis

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