comp.ebayes(DEDS)
comp.ebayes()所属R语言包：DEDS
Computing Empirical Bayes Statistics for Differential Expression
计算经验Bayes统计差异表达
译者：生物统计家园网 机器人LoveR
描述----------Description----------
comp.ebayes returns a function of one argument with bindings for L and proportion. This function accepts a microarray data matrix as its single argument, when evaluated, computes lod-odds (B statistics) and moderated t statistics of differential expression by empirical Bayes shrinkage of the standard error toward a common value.
comp.ebayesL和proportion绑定返回一个参数的函数。这个函数接受作为单个参数的微阵列数据矩阵，计算时，计算LOD赔率（二统计），并朝着一个共同的价值标准错误的经验Bayes收缩放缓t统计差异表达。
用法----------Usage----------
comp.ebayes(L = NULL, proportion = 0.01)
参数----------Arguments----------
参数：L
A vector of integers corresponding to observation (column) class labels. For k classes, the labels must be integers between 0 and k-1.
观察（列）类的标签对应的整数向量。对于k类，标签必须是0k-1之间的整数。
参数：proportion
A numeric variable specifying the proportion of differential expression.
一个数字变量指定的差异表达的比例。
Details
详情----------Details----------
The function returned by comp.ebayes calculates B statistics and moderated t statistics for each row of the microarray data matrix, with bindings for L and proportion. It interfaces to a C function.
comp.ebayes返回的函数乙统计和主持的t统计量计算的微阵列数据矩阵的每一行，L和proportion绑定。一个C函数接口。
值----------Value----------
comp.ebayes returns a function (F) with the bindings for L and proportion . The function F when supplied with a microarray data matrix and evaluated will return a matrix of two columns:
comp.ebayes（F）与绑定L和proportion返回一个函数。提供微阵列数据矩阵和评价函数F将返回一个两列的矩阵：
参数：t
Moderated t statistics
放缓ţ统计
参数：B
B statistics (log-odds) of differential expression
乙统计差异表达（log赔率）
作者（S）----------Author(s)----------
Yuanyuan Xiao, <a href="mailto:yxiao@itsa.ucsf.edu">yxiao@itsa.ucsf.edu</a>, <br>
Jean Yee Hwa Yang, <a href="mailto:jean@biostat.ucsf.edu">jean@biostat.ucsf.edu</a>.
参考文献----------References----------
data. Statistica Sinica 12, 31-46.
assessing differential expression in microarray experiments. http://www.statsci.org/smyth/pubs/ebayes.pdf
参见----------See Also----------
comp.modt,comp.B.
comp.modt，comp.B。
举例----------Examples----------
X <- matrix(rnorm(1000,0,0.5), nc=10)
L <- rep(0:1,c(5,5))
# genes 1-10 are differentially expressed[差异表达基因的1-10]
X[1:10,6:10]<-X[1:10,6:10]+1
# compute B and moderated t statistics, proportion set as 0.01[计算B和主持的t统计量，比例为0.01]
ebayes.fun <- comp.ebayes(L)
ebayes.X <- ebayes.fun(X)
# compute B and moderated t statistics, proportion set as 0.1[计算B和t统计量放缓，比例为0.1集]
ebayes.fun <- comp.ebayes(L, proportion=0.1)
ebayes.X <- ebayes.fun(X)
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。
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发表于 2012-2-25 16:20:59
