Hi All,
I have a large gene expression dataset of 10K genes with 800 conditions. This is after preprocessing/filtering. I am able to use many R hierarchical clustering tools using correlation/euclidean distance etc. I noticed that packages like pvclust does not work for such large dataset. There are also many other packages out there. Will it be worth to check each package and see if any cluster is identified using most of the methods ?
What package would you use/recommend to cluster large gene expression data?
Thanks Diwan
3 answers
The amap package contains several clustering algorithms that should handle datasets of this size easily.
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