RankingWilcEbam(GeneSelector)
RankingWilcEbam()所属R语言包：GeneSelector
Ranking based on the empirical bayes approach of Efron
综合埃弗龙的经验Bayes方法
译者：生物统计家园网 机器人LoveR
描述----------Description----------
The function is a wrapper for the function wilc.ebam from the package siggenes that implements an empirical bayes mixture model approach in combination with the Wilcoxon statistic.
函数是一个函数的包装wilc.ebam包siggenes实现相结合的经验Bayes混合模型与秩统计方法。
用法----------Usage----------
RankingWilcEbam(x, y, type = c("unpaired", "paired", "onesample"), gene.names = NULL, ...)
参数----------Arguments----------
参数：x
A matrix of gene expression values with rows corresponding to genes and columns corresponding to observations or alternatively an object of class ExpressionSet alternatively an object of class ExpressionSet.<br> If type = paired, the first half of the columns corresponds to the first measurements and the second half to the second ones. For instance, if there are 10 observations, each measured twice, stored in an expression matrix expr, then expr[,1] is paired with expr[,11], expr[,2] with expr[,12], and so on.
一个matrix基因表达值与观察或者ExpressionSet另外一个对象类ExpressionSet参考。如果type = paired类的对象对应的基因和列对应的行，上半年列对应的第一次测量和第二的下半年。例如，如果有10个观测，每个测两次，表达矩阵expr，则expr[,1]expr[,11]，expr[,2]搭配expr[,12]存储 ，等等。
参数：y
If x is a matrix, then y may be a numeric vector or a factor with at most two levels.<br> If x is an ExpressionSet, then y is a character specifying the phenotype variable in the output from pData.<br> If type = paired, take care that the coding is analogously to the requirement concerning x
x如果是一个矩阵，然后y可能是一个numeric矢量或在大多数两个级别的一个因素。参考如果x是ExpressionSet ，然后y是pData。参考型变量指定输出的字符，如果type = paired，照顾编码类似的要求是关于x
参数：type
"unpaired":two-sample test.
“未成”：两样本测试。
"paired":paired test. Take care that the coding of y is correct (s. above)
“配对”配对测试。照顾y编码是正确的（与上述）
"onesample":y has only one level. Test whether the true mean is different from zero.
“onesample”：y只有一个级别。测试是否是真正的平均异于零。
参数：gene.names
An optional vector of gene names.
一个基因名称可选的向量。
参数：...
Further arguments to be passed to wilc.ebam, s. package siggenes.
进一步的参数被传递给wilc.ebam，S。包siggenes。
值----------Value----------
An object of class GeneRanking.
对象类GeneRanking。
注意----------Note----------
p-values are not computed - the statistic is
p值计算 - 统计
作者（S）----------Author(s)----------
Martin Slawski <br>
Anne-Laure Boulesteix
参考文献----------References----------
Empirical Bayes Methods and False Discovery Rates for Microarrays Genetic Epidemiology, 23, 70-86
Comparison of the Empirical Bayes and the Significance Analysis of Microarrays. Techical Report, University of Dortmund.
参见----------See Also----------
RepeatRanking, RankingTstat, RankingFC, RankingWelchT, RankingWilcoxon, RankingBaldiLong, RankingFoxDimmic, RankingLimma, RankingEbam, RankingSam, RankingShrinkageT, RankingSoftthresholdT,
RepeatRanking，RankingTstat，RankingFC，RankingWelchT，RankingWilcoxon，RankingBaldiLong，RankingFoxDimmic，RankingLimma，RankingEbam，RankingSam，RankingShrinkageT，RankingSoftthresholdT
举例----------Examples----------
### Load toy gene expression data[＃负载玩具基因表达数据]
data(toydata)
### class labels[＃＃类的标签]
yy <- toydata[1,]
### gene expression[＃＃基因表达]
xx <- toydata[-1,]
### run RankingWilcEbam[＃运行RankingWilcEbam]
WilcEbam <- RankingWilcEbam(xx, yy, type="unpaired")
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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发表于 2012-2-25 19:04:36
