Yeast Gene-Knockout Fitness Data Cluster Memberships
酵母基因敲除健身数据聚类成员
译者:生物统计家园网 机器人LoveR
描述----------Description----------
This data set contains cluster memberships for yeast genes clustered using fitness deficiency scores from gene knockout experiments from Giaever et al. Nature (2002). The 3000 most variable genes were clustered using k-means with 30 clusters
该数据集包含了利用基因敲除实验Giaever等健身缺乏得分聚类的酵母基因的聚类成员。性质(2002年)。 3000最可变区基因聚类使用30簇的k-means
用法----------Usage----------
data(Phenoclusters)
格式----------Format----------
A matrix whose rows are the 3000 genes and whose two columns are gene name and cluster membership number.
一个矩阵,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://gobi.lbl.gov/YeastFitnessData
参考文献----------References----------
举例----------Examples----------
data(Phenoclusters)
## Compute the adjacency matrix for the corresponding cluster graph:[#计算相应的聚类图的邻接矩阵:]
phenoMat<-clust2Mat(Phenoclusters[,2])