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R语言 siggenes包 limma2sam()函数中文帮助文档(中英文对照)

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发表于 2012-2-26 14:13:05 | 显示全部楼层 |阅读模式
limma2sam(siggenes)
limma2sam()所属R语言包:siggenes

                                        limma to SAM or EBAM
                                         limma到SAM或EBAM

                                         译者:生物统计家园网 机器人LoveR

描述----------Description----------

Transforms the output of an analysis with limma into a SAM or EBAM object, such that a SAM or EBAM analysis, respectively, can be performed using the test statistics provided by limma.
转换分析的输出limma到SAM或EBAM对象,例如,SAM或EBAM分析,分别可以使用测试limma提供的统计数据。


用法----------Usage----------


limma2sam(fit, coef, moderate = TRUE, sam.control = samControl())

limma2ebam(fit, coef, moderate = TRUE, delta = 0.9,
   ebam.control = ebamControl())



参数----------Arguments----------

参数:fit
an object of class MArrayLM, i.e.\ the output of the functions eBayes and lmFit from the limma package.
一个类的对象MArrayLM,即\输出功能eBayes和lmFitlimma包。


参数:coef
column number or name corresponding to the coefficient or contrast of interest. For details, see the argument coef of the function topTable in limma.
列的编号或名称对应的系数或利益相反。有关详细信息,请参阅参数coef函数topTablelimma。


参数:moderate
should the limma t-statistic be considered? If FALSE, the ordinary t-statistic is used in the trasnsformation to a SAM or EBAM object. If TRUE, it is expected that fit is the output of eBayes. Otherwise, fit can be the result of lmFit or eBayes.
limmat-统计量应被视为?如果FALSE,普通的t-统计在trasnsformation使用SAM或EBAM对象。如果TRUE,预计fiteBayes的输出。否则,fit能lmFit或eBayes的结果。


参数:sam.control
further arguments for the SAM analysis. See samControl for these arguments, which should only be changed if they are fully understood.
进一步的SAM分析参数。看到samControl这些参数,它应该只被改变,如果他们有充分的了解。


参数:delta
the minimum posterior probability for a gene to be called differentially expressed (or more generally, for a variable to be called significant) in an EBAM analysis. For details, see ebam. Please note that the meaning of  delta differs substantially between sam and ebam
被称为一个基因的最小后验概率差异表达在EBAM分析(或更普遍的,一个被称为显着的变量)。有关详细信息,请参阅ebam。请注意,delta意义sam和ebam之间相差的


参数:ebam.control
further arguments for an EBAM analysis. See ebamControl for these arguments, which should only be changed if their meaning is fully understood.
进一步论据为EBAM分析。看到ebamControl这些参数,它应该只被改变,如果充分理解其含义。


值----------Value----------

An object of class SAM or EBAM.
一个对象类SAM或EBAM。


作者(S)----------Author(s)----------


Holger Schwender, <a href="mailto:holger.schwender@udo.edu">holger.schwender@udo.edu</a>



参考文献----------References----------

of a Microarray Experiment. JASA, 96, 1151-1160.
Expression in Microarray Experiments. Statistical Applications in Genetics and Molecular Biology, 3(1), Article 3.     
Applied to the Ionizing Radiation Response. PNAS, 98, 5116-5121.

参见----------See Also----------

sam, ebam, SAM-class, EBAM-class,
sam,ebam,SAM-class,EBAM-class

转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。


注:
注1:为了方便大家学习,本文档为生物统计家园网机器人LoveR翻译而成,仅供个人R语言学习参考使用,生物统计家园保留版权。
注2:由于是机器人自动翻译,难免有不准确之处,使用时仔细对照中、英文内容进行反复理解,可以帮助R语言的学习。
注3:如遇到不准确之处,请在本贴的后面进行回帖,我们会逐渐进行修订。
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