Dear Bioconductors,
I have a bunch of DeltaCT values for several tissues. If I boxplot the data,
it looks very similar to microarray data, a lot of congestion around zero.

Likewise, if I log2 the data, as in microarray, the distributions looks
close to normal and like microarray data.

Please see the image here for different plots;
https://docs.google.com/leaf?id=0B9IUGsKecS4GNDc0OWVlNzEtZjE5Yi00Y2Q4LWI0M2MtMGFiNzZhMDU0YTFm&hl=en

My question is data manipulation in this manner OK for this type of data and
will it effect/invalidate any unsupervised machine learning/clustering?

Can I quantile normalise the data and still do valid clustering?

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