doLPE(ABarray)
doLPE()所属R语言包：ABarray
Perform LPE analysis
执行液相外延分析
译者：生物统计家园网 机器人LoveR
描述----------Description----------
The local pooled error test attempts to reduce dependence on the within-gene estimates in tests for differential expression, by pooling error estimates within regions of similar intensity. Note that with the large number of genes there will be genes with low within-gene error estimates by chance, so that some signal-to-noise ratios will be large regardless of mean expression intensities and fold-change. The local pooled error attempts to avert this by combining within-gene error estimates with those of genes with similar expression intensity.
汇集的地方错误测试，试图减少依赖类似强度的区域内汇集的错误估计，在测试的差异表达的基因内估计。请注意，大量的基因将基因与低基因内偶然的错误估计，因此，将一些信号信噪比大，无论平均表达强度和倍数变化。汇集的地方错误试图避免这种类似的表达强度的基因相结合的基因内的误差估计。
用法----------Usage----------
doLPE(eset, group, member, name = "", snThresh = 3, detectSample = 0.5)
参数----------Arguments----------
参数：eset
an ExpressionSet object
ExpressionSet对象
参数：group
which group should LPE be performed
这组应该液相外延进行
参数：member
optional. The member names in the group specified above
可选的。在上述规定的组的成员名称
参数：name
a prefix name for use when writing output to file
使用一个前缀名时写输出文件
参数：snThresh
S/N ratio threshold to use to define gene detectability
S / N比的阈值来定义基因的探测
参数：detectSample
percentage of samples detectable above snThresh to include in LPE test. The default is 50%. If the probe is detected in 50% or more samples in one of the subgroup, it is considered in LPE analysis
以上snThresh探测到包括在液相外延测试的样本的百分比。默认为50％。如果在50％或更多的分组样本检测探针，它被认为是在液相外延分析
Details
详情----------Details----------
The LPE test statistic numerator is the difference in medians between the two experimental conditions. The test statistic denominator is the combined pooled standard error for the two experimental conditions obtained by looking up the var.M from each baseOlig.error variance function. The conversion to p-values is based on the Gaussian distribution for difference if order statistics (medians). The user may select both the smoother degrees of freedom (smaller is smoother) and the trim percent to obtain a variance function to suit particular issues i.e. variability of genes with low expression intensity.
液相外延的检验统计量的分子是在两者之间的实验条件下的中位数的差异。检验统计量的分母是合并汇集寻找var.M从每个baseOlig.error方差函数得到的两个实验条件的标准错误。 p值的转换是基于高斯分布的差异，如果次序统计量（中位数）。用户可以选择自由的平滑度（较小的平滑）和修剪％，获得了变异的功能，以满足特定的变异，即基因表达强度低的问题。
值----------Value----------
Dataframe
dataframe
作者（S）----------Author(s)----------
Y Andrew Sun
参考文献----------References----------
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 10:56:05
