thanks a lot, however if I cluster with kmean, does it still work?
map <- pheatmap(x, kmean-k= 50, ... )
Hi everyone,
Sorry for a quite basic question regarding RNAseq analysis.
For the log-transformed FPKM values which made from Cuffdiff output, I have created a gene expression heatmap by pheatmap package in R. Those genes in rows are hierarchical clustered by pheatmap (clustering_distance_rows = "euclidean") to form a dendrogram structure. I wonder that how could I get hundreds of gene ids belonged to an interested branch (that is too many to be possibly read from row names) ? Does pheatmap offer this feature or should I use another R package to get those ids? Please give me suggestion and detail explanation if possible.
Thank you very much.
You can extract the genes in the clustered order if you save the pheatmap object.
map = pheatmap(x, ... )
x[map$tree_row$order,]
thanks a lot, however if I cluster with kmean, does it still work?
map <- pheatmap(x, kmean-k= 50, ... )
You can create your own dendrograms, using the hclust function, give this output to pheatmap to make heatmap (cluster_rows option ) . Then cut the clusters of your dendrogram using the cutree function in R to get a vector that tells you which entry belongs to which cluster.
thank you for your suggestion!
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