離群比例之基因表現分析

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。

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.