On Tue, Nov 17, 2009 at 17:03, Waverley @ Palo Alto
<waverley.paloa...@gmail.com> wrote:
> Hi,
>
> I am using the function heatmap(stats) to draw a microarray heatmap,
> columns are samples and rows are gene features.
>
> I did a 2D clustering during the heatmap drawing. The features and
> samples indeed cluster into several blocks both vertically and
> horizontally.
>
> I can get the index of re-ordered rows and columns after the heatmap
> drawing by typing the the return variable of the heatmap function.
> However, I cannot separate these index by the the dendro tree. All
> the indexes labeled at the bottom and right of the plot all jammed
> together. I cannot by looking at the plot to find where the borders
> are.
>
> Can someone help? Essentially I want the dendro tree of the genes
> which are grouped after the clustering so that, e.g., I want to check
> whether genes clustered together are in the same pathway etc.
>
> Thanks in advance.
>
> --
> Waverley @ Palo Alto
>
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>
The heatmap function does not return the full clustering information.
If you look in the help, you'll see that the rows and columns are
reordered by:
dd <- as.dendrogram(hclustfun(distfun(X)))
so you need to run your own clustering separately:
x <-
matrix(rnorm(100),ncol=10,dimnames=list(paste("gene",1:10),paste("sample",1:10)))
x.hclust <- hclust(dist(x))
plot(as.dendrogram(x.hclust))
x.ident <- rect.hclust(x.hclust,k=2)
x.ident
To get the sample clusters, transpose the matrix for the distance calculation.
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