aracne(minet)
aracne()所属R语言包：minet
Algorithm for the Reconstruction of Accurate Cellular NEtworks
精确的蜂窝网络的重建算法
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function takes the mutual information matrix as input in order to return the infered network according to the Aracne algorithm. This algorithm applies the data processing inequality to all triplets of nodes in order to remove the least significant edge in each triplet.
这个函数以返回推导网络根据的Aracne算法互信息作为输入矩阵。该算法适用于数据处理不平等，以消除在每个三重至少显著边缘节点的所有三胞胎。
用法----------Usage----------
aracne( mim, eps=0 )
参数----------Arguments----------
参数：mim
A square matrix whose i,j th element is the mutual information between variables X_i and X_j - see build.mim.
一个方阵的我，第j个元素是变量之间的相互信息X_i和X_j - 看到build.mim。
参数：eps
Numeric value indicating the threshold used when removing an edge : for each triplet of nodes (i,j,k), the weakest edge, say (ij), is removed if its weight is below min{(ik),(jk)}-eps - see references.
数值表明消除边缘时，使用阈值：每三个节点（I，J，K），最弱的边缘，说（九）被删除，如果其重量低于最小值{（IK），（JK）} EPS - 请参阅参考资料。
Details
详情----------Details----------
The Aracne procedure starts by assigning to each pair of nodes a weight equal to their mutual information. Then, the weakest edge of each triplet is interpreted as an indirect interaction and is removed if the difference between the two lowest weights is above a threshold eps.
Aracne程序开始分配给每一对节点的重量，等于彼此间的信息。然后，每个三重最弱的边缘被解释为间接的互动关系，如果两者之间的最低重量的差异是上述阈值eps被删除。
值----------Value----------
aracne returns a matrix which is the weighted adjacency matrix of the network. In order to display the network, load the package Rgraphviz and use the following command: <br> plot( as( returned.matrix ,"graphNEL") )
aracne返回一个矩阵，这是网络的加权邻接矩阵。为了显示网络，加载包Rgraphviz和使用下面的命令：参考图（（returned.matrix，“graphNEL”））
参考文献----------References----------
Stolovitzky, Riccardo Dalla Favera, and Andrea Califano. Aracne : An algorithm for the reconstruction of gene regulatory networks in a mammalian cellular context. BMC Bioinformatics, 2006.
minet: A R/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information. BMC Bioinformatics, Vol 9, 2008.
参见----------See Also----------
build.mim, clr, mrnet, mrnetb
build.mim，clr，mrnet，mrnetb
举例----------Examples----------
data(syn.data)
mim <- build.mim(syn.data,estimator="spearman")
net <- aracne(mim)
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 2012-2-26 00:57:07
