subsetTOM(WGCNA)
subsetTOM()所属R语言包：WGCNA
Topological overlap for a subset of a whole set of genes
整个基因组的一个子集的拓扑重叠
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function calculates topological overlap of a subset of vectors with respect to a whole data set.
此函数计算相对于整个数据集的拓扑的向量的一个子集重叠。
用法----------Usage----------
subsetTOM(
datExpr,
subset,
corFnc = "cor", corOptions = "use = 'p'",
networkType = "unsigned",
power = 6,
verbose = 1, indent = 0)
参数----------Arguments----------
参数：datExpr
a data frame containing the expression data of the whole set, with rows corresponding to samples and columns to genes.
含有一整套的表达数据的一个数据框的行对应的样品和列的基因。
参数：subset
a single logical or numeric vector giving the indices of the nodes for which the TOM is to be calculated.
一个单一的逻辑或数字向量给予该TOM是要计算的节点的索引。
参数：corFnc
character string giving the correlation function to be used for the adjacency calculation. Recommended choices are "cor" and "bicor", but other functions can be used as well.
字符字符串，给出要用于邻接计算的相关函数。推荐选择是"cor"和"bicor"，以及其他功能都可以使用。
参数：corOptions
character string giving further options to be passed to the correlation function.
提供进一步的相关函数的选项传递的字符串。
参数：networkType
character string giving network type. Allowed values are (unique abbreviations of) "unsigned", "signed", "signed hybrid". See adjacency.
网络类型的字符串。允许的值是（）"unsigned"，"signed"，"signed hybrid"唯一的缩写。见adjacency。
参数：power
soft-thresholding power for network construction.
软阈值功率的网络建设。
参数：verbose
integer level of verbosity. Zero means silent, higher values make the output progressively more and more verbose.
整数的详细程度。零表示沉默，较高的值使输出越来越多，更详细。
参数：indent
indentation for diagnostic messages. Zero means no indentation, each unit adds two spaces.
缩进诊断消息。零表示无压痕，每个单元增加两个空格。
Details
详细信息----------Details----------
This function is designed to calculated topological overlaps of small subsets of large expression data sets, for example in individual modules.
此功能的目的是计算的拓扑重叠的小的子集大型表达数据集，例如在单独的模块。
值----------Value----------
A matrix of dimensions n*n, where n is the number of entries selected by block.
维度的矩阵n*n，其中n选择block的条目数。
（作者）----------Author(s)----------
Peter Langfelder
参考文献----------References----------
Network Analysis", Statistical Applications in Genetics and Molecular Biology: Vol. 4: No. 1, Article 17
参见----------See Also----------
TOMsimilarity for standard calculation of topological overlap.
TOMsimilarity为标准计算的拓扑重叠。
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 22:24:17
