標題: The distribution-based p-value for the outlier sum in differential gene expression analysis
作者: Chen, Lin-An
Chen, Dung-Tsa
Chan, Wenyaw
統計學研究所
Institute of Statistics
公開日期: 1-Mar-2010
摘要: Outlier sums were proposed by Tibshirani & Hastie (2007) and Wu (2007) for detecting outlier genes where only a small subset of disease samples shows unusually high gene expression, but they did not develop their distributional properties and formal statistical inference. In this study, a new outlier sum for detection of outlier genes is proposed, its asymptotic distribution theory is developed, and the p-value based on this outlier sum is formulated. Its analytic form is derived on the basis of the large-sample theory. We compare the proposed method with existing outlier sum methods by power comparisons. Our method is applied to DNA microarray data from samples of primary breast tumors examined by Huang et al. (2003). The results show that the proposed method is more efficient in detecting outlier genes.
URI: http://dx.doi.org/10.1093/biomet/asp075
http://hdl.handle.net/11536/5740
ISSN: 0006-3444
DOI: 10.1093/biomet/asp075
期刊: BIOMETRIKA
Volume: 97
Issue: 1
起始頁: 246
結束頁: 253
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