Hello R gurus.
I have been performing hierarchical clustering of gene expression data. I use
the heatmap() function to perform the clustering and overlay classifications by
using the ColSideColors parameter.
In many cases I have various metadata associated with my samples, which leaves
me with many different sets of sample classes which can be shown with
ColSideColors. So my question is: Is there an R package available that allows
one to calculate which of the pre-defined sample classifications correlates
best with the hierarchical clusters? Having a tool that finds the most
relevant classification would save me the effort of visualise them all on a
heatmap and work out by eye whether there is a correlation or not. I don't
doubt there is a function that does this, but I haven't been able to find it -
probably due to me not using the correct terminology in my searches.
Many thanks for your help,
Pall
--------------------------------------------------------------------------
AstraZeneca UK Limited is a company incorporated in Engl...{{dropped:21}}
______________________________________________
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.
