Hello, I'm just a beginner and probably there is a better way to do it but here it goes:
#cluster analysis Euclidean_Distance <- dist(mydata, method="euclidean", diag=FALSE , upper=FALSE, p=2) data <- hclust(Euclidean_Distance, method="ward", members=NULL) plot(data,hang=-1) #K=4 # i chose to divide my data in 4 clusters) X <- rect.hclust(data, k=4, border="red") summary(X) #to isolate each cluster #identify samples in each cluster cluster_1 <- as.vector(X[[1]]) cluster_2 <- as.vector(X[[2]]) cluster_3 <- as.vector(X[[3]]) cluster_4 <- as.vector(X[[4]]) hope that helps. Best regards, Catarina Maia 2013/4/21 Sudhir Singh <sudhir.thakur...@gmail.com> > Hi, > > I have created a heatmap using heatmap.2 having 7 clusters. I would like > to extract the list of genes that are in these 7 clusters. > > Is there any function that can be used to extract genes for each cluster? > > Cheers, > > Sudhir > > -- > __________________________________________________________ > > SAVE PAPER - Please do not print this e-mail unless absolutely necessary > Being happy doesn't mean everything's perfect. > It means you've decided to see beyond imperfections. > __________________________________________________________ > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html> > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
