heatmap() will do hierarchical clustering with hclust(), and to do that it
needs to compute and store the lower triangular part of the distance matrix,
which has 12626 * 12625 / 2 elements, each elements taking up 8 bytes of
storage. That works out to about 608MB (and is about the size that R fail
I sent this to Bioconductor, but I think it is more of an R listserv
question, because of memory allocation trouble
I am having trouble getting the function heatmap() to work on the following
gene expression
> dim(SAMPLES_log)
[1] 1262620
sample1 sample2...sample
