Two-stage testing in microarray analysis: what is gained?
Two-stage testing in microarray analysis: what is gained?
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微阵列分析中的两阶段测试：获得什么？
DOI：
10.1093/gerona/57.5.b189
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发表时间：
2002
期刊：
影响因子：
--
通讯作者：
Coffey,ChristopherS
中科院分区：
文献类型：
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作者：
Allison,DavidB;Coffey,ChristopherS
用于基因表达研究的微阵列技术为理解基因表达变化作为其他可观察或可操纵变量的函数提供了强大的新技术。然而，微阵列也提出了一些新的挑战。其中最突出的一个是难以建立一个程序来声明基因的表达水平是否与提供合理和可指定的假阳性（1型错误）和假阴性（2型错误）率的自变量相关。最近的一篇文章描述了一个两阶段测试程序来实现这些目标。但是，没有提供资料说明这一程序是否能够实现其目标。在此，我们从数学上表明，所提出的两阶段程序在最大限度地减少假阴性的同时控制相对于标准单阶段测试的假阳性率方面没有提供好处。因此，鼓励研究者考虑替代分析方法。
Microarray technology for gene expression studies offers powerful new technology for understanding changes in gene expression as a function of other observable or manipulable variables. However, microarrays also pose a number of new challenges. One of the most prominent of these is the difficulty in establishing a procedure for declaring whether a gene's expression level is associated with the independent variable that offers reasonable and specifiable false-positive (type 1 error) and false-negative (type 2 error) rates. A recent article described a two-stage testing procedure to address these goals. However, information was not provided to indicate whether this procedure would or would not meet its objectives. Herein, we show mathematically that the two-stage procedure proposed does not provide benefits in terms of minimizing false-negatives while controlling the false-positive rate relative to standard single-stage testing. Therefore, investigators are encouraged to consider alternative analytic approaches.