consensusOrderMEs(WGCNA)
consensusOrderMEs()所属R语言包：WGCNA
Put close eigenvectors next to each other in several sets.
把接近特征向量在彼此旁边几套。
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Reorder given (eigen-)vectors such that similar ones (as measured by correlation) are next to each other. This is a multi-set version of orderMEs; the dissimilarity used can be of consensus type (for each pair of eigenvectors the consensus dissimilarity is the maximum of individual set dissimilarities over all sets) or of majority type (for each pair of eigenvectors the consensus dissimilarity is the average of individual set dissimilarities over all sets).
重新排序给定的（特征）的向量，例如，类似的（如由相关性测量）是在彼此旁边。 orderMEs;的分辨率不同，可使用的共识类型（每个对特征向量的共识相异是个别组相异的最大值超过所有套组）或多数类型（对于每一对，这是一个多集版本特征向量的共识相异的个别设定不同点是平均超过所有套）。
用法----------Usage----------
consensusOrderMEs(MEs, useAbs = FALSE, useSets = NULL,
greyLast = TRUE,
greyName = paste(moduleColor.getMEprefix(), "grey", sep=""),
method = "consensus")
参数----------Arguments----------
参数：MEs
Module eigengenes of several sets in a multi-set format (see checkSets). A vector of lists, with each list corresponding to one dataset and the module eigengenes in the component data, that is MEs[[set]]$data[sample, module] is the expression of the eigengene of module module in sample sample in dataset set. The number of samples can be different between the sets, but the modules must be the same.
模块的特征基因的几套在多集的格式（见checkSets）。的列表，每个列表对应于一个数据集，在组件中的模块特征基因的向量data，MEs[[set]]$data[sample, module]是表达模块eigengenemodule样品中<X >sample在数据集。集合之间的样本的数目可以是不同的，但必须是相同的模块。
参数：useAbs
Controls whether vector similarity should be given by absolute value of correlation or plain correlation.
的相似矢量控制是否应绝对值的相关性或纯相关。
参数：useSets
Allows the user to specify for which sets the eigengene ordering is to be performed.
允许用户指定的设置的eigengene顺序是要执行。
参数：greyLast
Normally the color grey is reserved for unassigned genes; hence the grey module is not a proper module and it is conventional to put it last. If this is not desired, set the parameter to FALSE.
通常情况下的颜色为灰色为未分配的基因被保留，因此灰色的模块是不正确的模块，它是传统的把它放在最后。如果这是没有需要，设置的参数FALSE。
参数：greyName
Name of the grey module eigengene.
名称的灰色模块eigengene的。
参数：method
A character string giving the method to be used calculating the consensus dissimilarity. Allowed values are (abbreviations of) "consensus" and "majority". The consensus dissimilarity is calculated as the maximum of given set dissimilarities for "consensus" and as the average for "majority".
给一个字符串的方法来使用计算的共识相异的。允许值（缩写）"consensus"和"majority"。计算的共识相异的最大"consensus"的平均"majority"给定的异同。
Details
详细信息----------Details----------
Ordering module eigengenes is useful for plotting purposes. This function calculates the consensus or majority dissimilarity of given eigengenes over the sets specified by useSets (defaults to all sets). A hierarchical dendrogram is calculated using the dissimilarity and the order given by the dendrogram is used for the eigengenes in all other sets.
订购模块特征基因的图的目的是有用的。此函数计算给定的特征基因相异的共识或多数在指定的useSets（默认为所有台）套。用于所有其他组中的特征基因的差异性和给定的顺序由树状图的层次聚类分析计算。
值----------Value----------
A vector of lists of the same type as MEs containing the re-ordered eigengenes.
MEs含有重新排序的特征基因的相同类型的向量的列表。
（作者）----------Author(s)----------
Peter Langfelder, <a href="mailto eter.Langfelder@gmail.com"> eter.Langfelder@gmail.com</a>
参见----------See Also----------
moduleEigengenes, multiSetMEs, orderMEs
moduleEigengenes，multiSetMEs，orderMEs
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 2012-10-1 21:10:41
