Dear friends
I have recently migrated to R (8.0) for analysis of microarray data. I
am doing a loess (print-tip, perhaps scaled) normalization. I find that
there are 2 options to do this: using normalizeWithinArrays (Limma) and
stat.ma(sma). I find the objects returned by the two functions are
Dear friends
I have recently migrated to R (8.0) for analysis of microarray data. I
am doing a loess (print-tip, perhaps scaled) normalization. I find that
there are 2 options to do this: using normalizeWithinArrays (Limma) and
stat.ma(sma). I find the objects returned by the two functions are
Dear all,
We have started using R for data analysis since a few months and find it
useful. We are planning to acquire a high-end dedicated system for
microarray data analysis and thinking of a distributed environment. I
would appreciate if some one could send some pointers regarding how to
choose
