I would like to know if it is possible to make a heatmap with 200k rows? I have a matrix with genomic coordinates as rows and each column represents the presence or absence of that region in each patients. so I have 15 patient (columns). Now when I am trying heatmap.2 or pheatmap I get the memory allocation problem, how will I be able to use the entire matrix to generate a heatmap. The values of my matrix are jsut 0 and 1 and I want to draw some hypothesis based on the heatmap. How will I be able to use it. I tried once on my laptop but it does not help , so I tried in our linux cluster which is quite powerful. But still shows the below error. How can I resolve this problem. I also add the sessionInfo()
. Any workaround is appreciated
data<-read.delim("path/H3_marks_map.txt",sep="\t", row.names=1)
pdf(file="path/map/H3_maps1.pdf")
pheatmap(data,scale="none")
Error: cannot allocate vector of size 170.5 Gb
dev.off()
sessionInfo()
R version 3.1.2 (2014-10-31)
Platform: x86_64-unknown-linux-gnu (64-bit)
locale:
[1] LC_CTYPE=C LC_NUMERIC=C LC_TIME=C.UTF-8
[4] LC_COLLATE=C.UTF-8 LC_MONETARY=C.UTF-8 LC_MESSAGES=C.UTF-8
[7] LC_PAPER=C.UTF-8 LC_NAME=C LC_ADDRESS=C
[10] LC_TELEPHONE=C LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] RColorBrewer_1.1-2 pheatmap_1.0.7
loaded via a namespace (and not attached):
[1] colorspace_1.2-6 grid_3.1.2 gtable_0.1.2 munsell_0.4.2
[5] plyr_1.8.3 Rcpp_0.12.1 scales_0.3.0 tools_3.1.2