Bonferroni correction hides significant motif combinations
Bonferroni correction hides significant motif combinations
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Bonferroni 校正隐藏了重要的主题组合
DOI：
10.1109/bibe.2013.6701701
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Jun Sese
中科院分区：
文献类型：
--
作者：
Aika Terada ; Jun Sese
三个或三个以上的基序经常一起工作，这些效果在细胞机器中是必不可少的。然而，基序关联的扫描限于单个基序或对，因为扫描三个或更多个基序的组合的结果通常不包括显著的结果。即使我们在扫描中发现具有非常小的原始P值的组合，该组合也不显著，因为通过多重检验校正（例如Bonferroni校正）调整的P值大于给定的显著性水平。虽然已知Bonferroni校正是非常保守的校正，但是一些生物学实验已经使用更灵敏的基于随机排列的多重检验校正，例如Westfall-Young程序（WY程序）。在本文中，我们表明Bonferroni校正及其修改后的程序过于保守，无法找到由三个或更多基序组成的统计显着组合，而WY程序可以检测到它们。这些结果表明，统计上显著的上位效应被忽视，并促使我们重新分析公开的数据集。
Three or more motifs often work together, and the effects are essential in cellular machinery. However, the scanning of the associations of motifs is limited to single motifs or pairs, as the result of scanning for combinations of three or more motifs often includes no significant results. Even if we find a combination with a very small raw P-value in the scan, the combination is not significant because the adjusted P-value by a multiple testing correction, such as the Bonferroni correction, is larger than the given significance level. While it is known that the Bonferroni correction is a very conservative correction, a few biological experiments have used more sensitive random permutation based multiple testing correction such as Westfall-Young procedure (WY procedure). In this paper, we show that the Bonferroni correction and its modified procedure are too conservative to find statistically significant combinations consisting of three or more motifs, while the WY procedure can detect them. These results suggest that the statistically significant epistatic effects have been overlooked and motivate us to reanalyze the publicly available datasets.