Assumption Adequacy Averaging as a Concept to Develop More Robust Methods for Differential Gene Expression Analysis.
Assumption Adequacy Averaging as a Concept to Develop More Robust Methods for Differential Gene Expression Analysis.
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DOI：
10.1016/j.csda.2008.05.010
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发表时间：
2009-03-15
影响因子：
1.8
通讯作者：
Rai, Shesh N.
中科院分区：
文献类型：
--
作者：
Pounds, Stan;Rai, Shesh N.
假设充分性平均的概念被引入作为一种技术，以开发更强大的方法，将假设充分性的评估纳入分析。这个概念是通过使用它来说明开发一种方法，平均从t检验和非参数秩和检验的结果与使用Shapiro-Wilk检验来测试正态性的假设得到的权重。通过该平均过程，所提出的方法能够更严重地依赖于数据表明对于每个单独的基因是上级的统计检验。随后，这种方法的假设充分平均优于它的两个组成部分的方法（t检验和秩和检验）在一系列的传统和基于Bootstrap的模拟研究。所提出的方法在两项急性髓细胞白血病基因表达研究中的基因选择比t检验或秩和检验具有更大的一致性。一个R例程来实现该方法可根据要求提供。
The concept of assumption adequacy averaging is introduced as a technique to develop more robust methods that incorporate assessments of assumption adequacy into the analysis. The concept is illustrated by using it to develop a method that averages results from the t-test and nonparametric rank-sum test with weights obtained from using the Shapiro-Wilk test to test the assumption of normality. Through this averaging process, the proposed method is able to rely more heavily on the statistical test that the data suggests is superior for each individual gene. Subsequently, this method developed by assumption adequacy averaging outperforms its two component methods (the t-test and rank-sum test) in a series of traditional and bootstrap-based simulation studies. The proposed method showed greater concordance in gene selection across two studies of gene expression in acute myeloid leukemia than did the t-test or rank-sum test. An R routine to implement the method is available upon request.
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影响因子：
2.3
作者：
Gadbury, GL;Page, GP;Allison, DB
通讯作者：
Allison, DB
影响因子：
2.7
作者：
SHAPIRO, SS;WILK, MB
通讯作者：
WILK, MB
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y
DOI：
10.1093/jee/39.2.269
发表时间：
1945-01-01
期刊：
BIOMETRICS BULLETIN
影响因子：
--
作者：
WILCOXON, F
通讯作者：
WILCOXON, F
影响因子：
5.8
作者：
Pounds, S;Cheng, C
通讯作者：
Cheng, C