Optimality of Gene Ranking Based on Univariate P-values for Detecting Differentially Expressed Genes
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概要
- 論文の詳細を見る
Ranking significant genes based on the P-value in multiple testing is a simple and common practice in microarray data analysis, and its theoretical optimality is of particular interest. McLachlan et al. (Bioinformatics 2006; 22: 1608-1615) presented a method for calculating the local FDR under normal mixture models and provided a theoretical optimality of the local FDR as a ranking statistic. In this article, we show that the optimal gene ranking based on the local FDR calculated by the McLachlan et al.s method perfectly accords with that based on P-value under certain conditions. We argue that these conditions are generally satisfied for significant genes with small P-values. We demonstrate it using several real examples.
- 日本計量生物学会の論文
- 2010-07-31
著者
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Matsui Shigeyuki
Department Of Civil Engineering Osaka University
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Matsui Shigeyuki
Department Of Data Science The Institute Of Statistical Mathematics
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Noma Hisashi
Department Of Biostatistics Kyoto University School Of Public Health
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