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R语言 siggenes包 FindA0class()函数中文帮助文档(中英文对照)

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发表于 2012-2-26 14:12:11 | 显示全部楼层 |阅读模式
FindA0class(siggenes)
FindA0class()所属R语言包:siggenes

                                        Class FindA0
                                         类FindA0

                                         译者:生物统计家园网 机器人LoveR

描述----------Description----------

This is a class representation for the specification of the fudge factor in an EBAM analysis as proposed by Efron et al. (2001).
这是一个规范蒙混因素在EBAM分析的埃弗龙等人提出的类表示。 (2001年)。


类的对象----------Objects from the Class----------

Objects can be created using the function find.a0.
创建对象可以使用的功能find.a0。


插槽----------Slots----------




mat.z: Object of class "matrix" containing the expression scores of the genes for each of the possible values for the fudge factor, where each row corresponds to a gene, and each column to one of the values
mat.z:Object类的"matrix"一个包含每个蒙混因素,其中的每一行对应一个基因,而每一列的可能值的基因表达分数的值




mat.posterior: Object of class "matrix" consisting of the posterior probabilities of the genes for each of the possible values  for the fudge factor, where each row of mat.posterior corresponds to a gene, and each column to one of the values for a0. The  probabilities in mat.posterior are computed using the monotonically
mat.posterior:对象类"matrix"软糖因素,每一个可能的值的后验概率的基因组成,其中每个行mat.posterior对应的基因,而每一列a0值之一。 mat.posterior的概率计算的单调




mat.center: Object of class "matrix" representing the centers of the nrow(mat.center) intervals used in the logistic regression with repeated observations for estimating f/f0 for each of the ncol(mat.center) possible values for the fudge
mat.center"matrix"nrow(mat.center) logistic回归与重复观测间隔估算f/f0每ncol(mat.center)可能代表中心:类对象值软糖




mat.success: Object of class "matrix" consisting of  the numbers of observed test scores in the nrow(mat.success) intervals used in the logistic regression with repeated observations for each
mat.success:对象类"matrix"nrow(mat.success)logistic回归用于反复观察每个间隔观测到的考试成绩的数字组成




mat.failure: Object of class "matrix" containing the numbers of permuted test scores in the nrow(mat.failure) intervals used in the logistic regression with repeated observations for each
mat.failure:对象类"matrix"nrow(mat.failure)logistic回归用于反复观察每个间隔中含有置换考试成绩的数字




z.norm: Object of class "numeric" comprising the values of the nrow(mat.z) quantiles of the standard normal  distribution (if any mat.z<0) or an F-distribution (if all
z.norm:对象类"numeric"包括nrow(mat.z)的标准正态分布的分位数的值(如果任何mat.z<0)或一个F-分布(




p0: Object of class "numeric" specifying the prior
p0:Object类的"numeric"指定前




mat.a0: Object of class "data.frame" comprising the number of differentially expressed genes and the estimated FDR
mat.a0:Object类的"data.frame"组成的差异表达基因的数量和估计FDR




mat.samp: Object of class "matrix" consisting of the
mat.samp:Object类的"matrix"组成




vec.a0: Object of class "numeric" representing the
vec.a0:Object类的"numeric"代表




suggested: Object of class "numeric" revealing the suggested choice for the fudge factor, i.e. the value of vec.a0
suggested:Object类的"numeric"露出建议选择蒙混因素,即vec.a0价值




delta: Object of class "numeric" specifying the minimum posterior probability that a gene must have to be called
delta:Object类的"numeric"指定的最小后验概率,必须有一个基因被称为




df.ratio: Object of class "numeric" representing the degrees of freedom of the natural cubic spline used in the logistic
df.ratio"numeric"代表自由自然三次样条用于后勤度:类对象




msg: Object of class "character" containing information about, e.g., the type of analysis. msg is printed when
msg类"character"包含的信息,例如,类型的分析对象。 msg时打印




chip: Object of class "character" naming the microarray used in the analysis. If no information about the chip is available,
chip:Object类的"character"命名在分析中使用的芯片。如果没有提供有关芯片的信息是,


方法----------Methods----------




plot signature(object = "FindA0"): Generates a plot of the (logit-transformed) posterior probabilities of the genes for a specified  value of Delta and a set of possible values for the fudge factor. For details, see help.finda0(plot). For
图signature(object = "FindA0"):生成的基因(罗吉特转化)后验概率为指定的值Delta和一套蒙混因素可能值的图。有关详细信息,请参阅help.finda0(plot)。为




print signature(object = "FindA0"): Prints the number of  differentially expressed genes and the estimated FDR for each of the possible values of the fudge factor specified by  vec.a0. For details, see help.finda0(print).
打印signature(object = "FindA0"):打印的差异表达基因的数量估计为每一个可能的值指定的vec.a0软糖因素FDR。有关详细信息,请参阅help.finda0(print)。




show signature(object = "FindA0"): Shows the output of an
显示signature(object = "FindA0"):显示输出


作者(S)----------Author(s)----------


Holger Schwender, <a href="mailto:holger.schw@gmx.de">holger.schw@gmx.de</a>



参考文献----------References----------

of a Microarray Experiment, JASA, 96, 1151-1160.
the Empirical Bayes and the Significance Analysis of Microarrays. Technical Report, SFB 475, University of Dortmund, Germany.

参见----------See Also----------

find.a0, ebam, EBAM-class
find.a0,ebam,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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