decideTestsDGE(edgeR)
decideTestsDGE()所属R语言包:edgeR
Multiple Testing Across Genes and Contrasts
在基因和对比多个测试
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Classify a series of related differential expression statistics as up, down or not significant. A number of different multiple testing schemes are offered which adjust for multiple testing down the genes as well as across contrasts for each gene.
分类的一系列相关的差异表达统计升,下降或不显着。提供一些不同的多个测试计划,调整下来的基因,每个基因的对比,以及跨多个测试。
用法----------Usage----------
decideTestsDGE(object, adjust.method="BH", p.value=0.05)
参数----------Arguments----------
参数:object
deDGElist object, output from exactTest, or DGELRT object, output from DGELRT, from which p-values for differential expression and log-fold change values may be extracted.
deDGElist对象,从exactTest或DGELRT对象,从DGELRT,p值的差异表达和log倍的变化值可以提取输出输出。
参数:adjust.method
character string specifying p-value adjustment method. Possible values are "none", "BH", "fdr" (equivalent to "BH"), "BY" and "holm". See p.adjust for details.
字符串指定的P-值调整的方法。可能的值是"none","BH","fdr"(相当于"BH")"BY"和"holm"。看到p.adjust详情。
参数:p.value
numeric value between 0 and 1 giving the desired size of the test
0和1之间的数值,测试所需的大小
Details
详情----------Details----------
These functions implement multiple testing procedures for determining whether each log-fold change in a matrix of log-fold changes should be considered significantly different from zero.
这些功能实现多个测试程序,用于确定log倍变化的矩阵中的每个log倍的变化是否应被视为显着异于零。
值----------Value----------
An object of class TestResults (see TestResults). This is essentially a numeric matrix with elements -1, 0 or 1 depending on whether each DE p-value is classified as significant with negative log-fold change, not significant or significant with positive log-fold change, respectively.
一个类的对象TestResults(见TestResults)。这实质上是一种数字矩阵元素-1,0或1取决于每个DE p值是否显着的负对数倍的变化,不显着或与正向显着log倍的变化,分别为。
作者(S)----------Author(s)----------
Davis McCarthy, Gordon Smyth
参见----------See Also----------
Adapted from decideTests in the limma package.
改编decideTests在limma包。
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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