coClustering(WGCNA)
coClustering()所属R语言包：WGCNA
Co-clustering measure of cluster preservation between two clusterings
聚类保存两个聚类的聚类措施
译者：生物统计家园网 机器人LoveR
描述----------Description----------
The function calculates the co-clustering statistics for each module in the reference clustering.
该函数计算的合作聚类的统计数字，参考聚类中的每个模块。
用法----------Usage----------
coClustering(clusters.ref, clusters.test, tupletSize = 2, unassignedLabel = 0)
参数----------Arguments----------
参数：clusters.ref
Reference input clustering. A vector in which each element gives the cluster label of an object.
参考输入聚类。一个向量中的每个元素给出了聚类标签的对象。
参数：clusters.test
Test input clustering. Must be a vector of the same size as cluster.ref.
测试输入聚类。必须是相同的大小的矢量作为cluster.ref。
参数：tupletSize
Co-clutering tuplet size.
的合作clutering tuplet的大小。
参数：unassignedLabel
Optional specification of a clustering label that denotes unassigned objects. Objects with this label are excluded from the calculation.
可选规格的聚类标签，表示未分配的对象。这个标签的对象被排除在外的计算。
Details
详细信息----------Details----------
Co-clustering of cluster q in the reference clustering and cluster q' in the test clustering measures the overlap of clusters q and q' by the number of tuplets that can be chosen from the overlap of clusters q and q' relative to the number of tuplets in cluster q. To arrive at a co-clustering measure for cluster q, we sum the co-clustering of q and q' over all clusters q' in the test clustering. A value close to 1 indicates high preservation of the reference cluster in the test clustering, while a value close to zero indicates a low preservation.
合作聚类q在参考聚类和聚类q的在测试聚类的聚类措施簇q和q由的tuplets数，可以选择从聚类q和q相对的数目的重叠的重叠tuplets聚类q。要到达的共同聚类措施，聚类q，我们总结Q和Q的所有聚类Q在测试中的聚类的聚类。 A值接近1表示高保存在测试聚类参考聚类，而接近零的值表示低的保存。
值----------Value----------
A vector in which each component corresponds to a cluster in the reference clustering. Entries give the co-clustering measure of cluster preservation.
的向量，其中每个分量对应于在参考聚类聚类。文章给聚类保全的合作聚类措施，。
（作者）----------Author(s)----------
Peter Langfelder
参考文献----------References----------
Reproducible? PLoS Comput Biol 7(1): e1001057. Co-clustering is discussed in the Methods Supplement (Supplementary text 1) of that article.
参见----------See Also----------
modulePreservation for a large suite of module preservation statistics coClustering.permutationTest for a permutation test for co-clustering significance
modulePreservation大套房模块保存统计coClustering.permutationTest合作的聚类意义的置换检验
实例----------Examples----------
# An example with random (unrelated) clusters:[一个例子与随机（无关）聚类：]
set.seed(1);
nModules = 10;
nGenes = 1000;
cl1 = sample(c(1:nModules), nGenes, replace = TRUE);
cl2 = sample(c(1:nModules), nGenes, replace = TRUE);
coClustering(cl1, cl2)
# For the same reference and test clustering:[对于相同的参考和测试聚类：]
coClustering(cl1, cl1)
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。
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发表于 2012-10-1 21:09:13
