Comments on the rank product method for analyzing replicated experiments
نویسندگان
چکیده
منابع مشابه
The exact probability distribution of the rank product statistics for replicated experiments.
The rank product method is a widely accepted technique for detecting differentially regulated genes in replicated microarray experiments. To approximate the sampling distribution of the rank product statistic, the original publication proposed a permutation approach, whereas recently an alternative approximation based on the continuous gamma distribution was suggested. However, both approximati...
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The rank product statistic has been widely used to detect differentially expressed genes in replicated microarrays and a one-class setting. The objective of this article is to apply a rank product statistic to approximate the P-value of differential expression in a two-class setting, such as in normal and cancer cells. For this purpose, we introduce a simple statistic that compares the P-values...
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Many studies are conducted in which replication of units is prohibitive. Traditional methods of hypothesis testing do not allow for analysis of unreplicated experiments. An abundance of subsampling allows for accurate estimation of within-treatment variance, but does not constitute experimental error. The intraclass correlation coefficient (ICC) is a ratio involving both the within-treatment va...
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One of the main objectives in the analysis of microarray experiments is the identification of genes that are differentially expressed under two experimental conditions. This task is complicated by the noisiness of the data and the large number of genes that are examined simultaneously. Here, we present a novel technique for identifying differentially expressed genes that does not originate from...
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ژورنال
عنوان ژورنال: FEBS Letters
سال: 2010
ISSN: 0014-5793
DOI: 10.1016/j.febslet.2010.01.031