Microarray report special series. Evaluating test statistics to select interesting genes in microarray experiments
Microarray report special series. Evaluating test statistics to select interesting genes in microarray experiments
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DOI：
10.1093/hmg/11.19.2223
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发表时间：
2002-09-15
影响因子：
3.5
通讯作者：
Olson, JM
中科院分区：
文献类型：
--
作者：
Kooperberg, C;Sipione, S;Olson, JM
提出了一种在复杂微阵列实验中评估显著性水平和错误发现率的随机化方法。相关图可用于比较可用于分析同一实验的不同检验统计量。该图与受试者操作特征（ROC）曲线密切相关。所提出的方法被施加到一个子集的数据从细胞系实验相关的亨廷顿氏病。一个小的模拟研究所提出的程序与微阵列（SAM）程序的显着性分析的有效性进行了比较。
A randomization procedure to evaluate the significance level and the false-discovery rate in complex microarray experiments is proposed. A related graph can be used to compare different test statistics that can be used to analyze the same experiment. This graph is closely related to receiver operator characteristic (ROC) curves. The proposed method is applied to a subset of the data from a cell-line experiment related to Huntington's disease. A small simulation study compares the effectiveness of the proposed procedure with the significance analysis of microarrays (SAM) procedure.