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Enrichment or depletion of a GO category within a class of genes: which test?

机译:一类基因中GO类别的富集或耗竭:哪个测试?

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Motivation: A number of available program packages determine the significant enrichments and/or depletions of GO categories among a class of genes of interest. Whereas a correct formulation of the problem leads to a single exact null distribution, these GO tools use a large variety of statistical tests whose denominations often do not clarify the underlying P-value computations. Summary: We review the different formulations of the problem and the tests they lead to: the binomial, chi(2), equality of two probabilities, Fisher's exact and hypergeometric tests. We clarify the relationships existing between these tests, in particular the equivalence between the hypergeometric test and Fisher's exact test. We recall that the other tests are valid only for large samples, the test of equality of two probabilities and the chi(2)-test being equivalent. We discuss the appropriateness of one- and two-sided P-values, as well as some discreteness and conservatism issues. Contact:isabelle.rivals@espci.fr Supplementary information: Supplementary data are available at Bioinformatics online.
机译:动机:大量可用的程序包确定了感兴趣的基因类别中GO类别的显着丰富和/或枯竭。问题的正确表述导致单个准确的零分布,而这些GO工具使用了各种各样的统计检验,其面额常常无法阐明潜在的P值计算。简介:我们回顾了问题的不同表述及其导致的检验:二项式,chi(2),两个概率相等,费舍尔精确检验和超几何检验。我们阐明了这些测试之间存在的关系,尤其是超几何测试和Fisher精确测试之间的等效性。我们记得,其他检验仅对大样本有效,两个概率的相等检验和chi(2)检验相等。我们讨论一面和两面P值的适当性,以及一些离散性和保守性问题。联系人:isabelle.rivals@espci.fr补充信息:补充数据可从Bioinformatics在线获得。

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