Usually, for test vs control studies of comparative gene or protein expression , we assume that the there is NO major difference in global gene expression between the control and the case. Accordingly,as a data normalization procedure, log expression ratios of case/control is often median or mean shifted so as to bring the average log-ratio to zero .
However there can be some cases where there is indeed a shift in global gene /protein expression and such meadin/mean centering doesn't hold good.
I wish to know if there are any centering and/or other normalization techniques available for such kind of globally shifted data.
Search algorithms, post-searching processing, quantitation software, etc. Share and discuss software here.
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