Since both of the packages you mention are part of Bioconductor, you would do well to re-post in the correct list ([EMAIL PROTECTED]).
Best, Jim James W. MacDonald Affymetrix and cDNA Microarray Core University of Michigan Cancer Center 1500 E. Medical Center Drive 7410 CCGC Ann Arbor MI 48109 734-647-5623 >>> "Saroj Mohapatra" <[EMAIL PROTECTED]> 07/13/04 01:51PM >>> 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 different, however the M and A values seem to be the same. Is one function preferable over the other? Any feedback regarding this would be appreciated. Thanks and regards, Saroj -------------------------- Saroj K Mohapatra, MD Research Associate Karmanos Cancer Institute Wayne State University School of Medicine 110 E. Warren, Room 311 Detroit MI 48201 313-833-0715 x2424 [EMAIL PROTECTED] ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
