标题: | 离群比例之基因表现分析 Outlier Proportion for Gene Expression Analysis |
作者: | 徐国诚 Shu, Guo - Cheng 陈邻安 Chen, Lin - An 统计学研究所 |
关键字: | 癌症离群比例分析;基因表现;离群的平均;离群的比例;回归模型;Cancer outlier profile analysis;Gene expression;Outlier mean;Outlier proportion;Regression model |
公开日期: | 2011 |
摘要: | 从有病的样本中透过离群值的检测,发现有影响力的基因是目前一个很新也很重要的基因表现分析,延续Chen. Chen and Chan(2010) 离群平均的想法,我们开发了以回归模型为基础的离群比例的渐近分布,比较其检定力后发现,以这离群估计为基础的测试是非常有竞争力,并有望检测母体背后分布的转变。 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. |
URI: | http://140.113.39.130/cdrfb3/record/nctu/#GT079926519 http://hdl.handle.net/11536/49928 |
显示于类别: | Thesis |
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