Question

Using the heatmap function of made4, I made this heatmap dendrogram from the example file:

data(khan)
heatplot(khan$train[1:30,], lowcol="blue", highcol="red")

How can I add a panel of labels for the samples on the edges of the heatmap, like in this figure?

enter image description here

The labels in this case are the squares that are adjacent to the heatmap first col and top row, used to denote a label for each sample so that one can see if the labels correspond with the clustering shown by the heatmap/dendrogram. In this particular plot they chose to make those labels correspond exactly to the colors of the dendrogram clusters but it doesn't have to be this way, I'm looking for way to just add a generic column and row of labels to the samples which might not correspond to the clustering resulting from applying a particular threshold of the dendrogram.

The heatmap function and the khan data is from made4:

require(made4)

see http://www.bioinf.ucd.ie/people/aedin/R/pages/made4/html/heatplot.html

I'm happy to use alternatives to heatplot that can draw the same thing, a heatmap with two dendrograms along the side based on hierarchical clustering. heatplot is just an example.

When I try heatmap.2 like @HeatherTurner suggested I get this image (not sure how to turn off row/column labels on matrix to make it less clustered):

enter image description here

The heatmap looks corrupted. Here's code that reproduces this with a small data set:

require(gplots)
data(khan)
heatmap.2(as.matrix(khan$train[1:30,])

which generates this: enter image description here

What is causing these corrupted looking heatmaps?

update: apologies, I think the heatmaps are not corrupted it's just the trace column is on which causes the cyan line to be drawn through heatmap. setting trace=none resolves the issue.

ps it looks like heatmap has RowSideCols, which might be same argument?

Was it helpful?

Solution

Try the heatmap.2 function from the gplots package, which has arguments RowSideColors and ColSideColors to create side bars.

If this doesn't meet your needs, the heatmap.plus package allows further customisation, such as multiple colour side bars.

OTHER TIPS

There is a new package called 'fheatmap' in R .

cpan fheatmap

I couldn't post image as I am new to blog.But check out examples in the manual.

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