Hi All
Not sure if this a bioconductor question or general R mailing list
so apologies if this has gone to the wrong one.................
When plotting dendrograms created by hclust you can "identify"
clusters
by clicking on the graphics and returning a list of what is contained in
each cluster. However I'd like to be able to "zoom in" on specific
clusters and plot them, is this possible at all ?
Also
I have a microarray experiment where I'd like to be able to plot
A gene tree against a condition tree using the heatmap function.
for genes according to treatments and viceversa
I.e Treatments being DIF1, DIF2, DIF3
genes being 324c_F, 634_F etc.
393 genes x 3 treatments
name DIF1 DIF2 DIF3
324c_F 4.16E-01 2.65E-01 0.298602679
634_F 8.95E-01 6.67E-01 0.337895962
504c_F 4.54E-01 5.94E-01 1.185792741
1302_F -6.43E-01 -5.39E-01 0.073152009
233c_F 4.20E-01 4.27E-01 0.261216119
1274_F -5.00E-01 -3.53E-01 -0.161567509
1314_F 1.59E+00 1.08E+00 0.403198377
1791c_F 9.08E-01 4.11E-01 0.461046812
594c_F 6.43E-01 3.93E-01 -0.142807556
854c_F -5.59E-01 -9.70E-01 -0.766361402
viseversa.
3 treatment x 393 genes
name 324c_F 634_F 504c_F 1302_F..........
DIF1 4.16E-01 8.95E-01 4.54E-01 -6.43E-01......
DIF2 2.65E-01 6.67E-01 5.94E-01 -5.39E-01......
DIF3 0.298602679 0.337895962 1.185792741 0.073152009....
etc.............
And would like to be able to plot one against the other.
I've used as.dendrogram to create dendrograms from the output of hclust
for each of the data sets mentioned above but..........
I'm having problems with the rest of the functions
Could someone advise me as to which numeric matrix I should be using
specified as X
in the example:
heatmap(x, dendrogram1, dendrogram2 etc)
I.e. is X coming from the results of dist, hclust or the original data ?
If so do you then need to covert it into a numeric matrix ?
I've thus far tried the data.matrix function on the output from all of
the above only to get: `x' must be a numeric matrix
heatmap(DIF123distmatrix, hclustfun=hclust)
This command works nicely but obviously plots the same thing
on both axes.
I've tried something along the lines of:
heatmap(DIF123datamat, DIF123clustFLIPasdendro,
DIF123clustHCmcquittyasdendro, hclustfun=hclust)
but this returns
row dendrogram ordering gave index of wrong length
which has come from the viseversa example above.
thanks for any help and guidance
Jason
--
--------------------------------
Jason Skelton
Pathogen Microarrays
Wellcome Trust Sanger Institute
Hinxton
Cambridge
CB10 1SA
Tel +44(0)1223 834244 Ext 7123
Fax +44(0)1223 494919
