Yeast mRNA Expression Data Cluster Memberships
酵母基因表达数据的聚类
译者:生物统计家园网 机器人LoveR
描述----------Description----------
This data set contains cluster membership for yeast genes clustered using mRNA expression from a microarray experiment in Causton, et al. Molecular Biology of the Cell (2001). The 3000 most variable genes were clustered using k-means with 30 clusters.
该数据集包含聚类成员聚集酵母基因mRNA的表达,从芯片实验在Causton,等。单元的分子生物学(2001)。 3000最可变区基因,使用30簇的k-means聚类。
用法----------Usage----------
data(mRNAclusters)
格式----------Format----------
A data frame whose rows are the 3000 genes and whose two columns are gene name and cluster membership number.
一个数据框,其行的3000个基因,其两列是基因名称和聚类成员数量。
源----------Source----------
http://web.wi.mit.edu/young/environment
参考文献----------References----------
举例----------Examples----------
data(mRNAclusters)
## Compute the adjacency matrix for the corresponding cluster graph:[#计算相应的聚类图的邻接矩阵:]
mRNAMat<-clust2Mat(mRNAclusters[,2])