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This is a bug and a feature. When you use min.per.group you will have NAs in your dataset because not every CpG is covered in all samples. correlation with default arguments produces NAs if there are NAs present in one of the vectors. For now, for correlation and clustering purposes do not use min.per.group, differential methylation should work when there are NAs
Otherwise, can you share more details? Do all your rows contain NAs or only a few of them? Does using na.omit() solve your issue?
Hi!
I am analysing methylation data with methylKit on R and I got some NA values after the unite function, after merging samples:
meth=unite(myobj, destrand=FALSE)
This issue does not allow me to do:
getCorrelation(meth)
clusterSamples(meth)
PCASamples(meth)
because of this NA.
What can I do to solve this issue? Do you have any advice? I really thank you in advance for your help.
Silvia
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