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Last seen 10.2 years ago
Hi,
I have a built a classifier on a set of my own microarray data.
I would like to be able to show that it works on new data, by taking
some from GEO (same tissue, same array platform etc) and classifying
that.
However, the probe values in the new datasets are offset compared to
those in my original dataset, presumably because of differences in how
they were normalised.
Is there a way to normalize datasets taken from GEO so that they are
normalized with respect to an existing dataset?
Thanks
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