Re: SAM: Significance of Microarray Analysis availability
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@nicholas-lewin-koh-63
Last seen 9.7 years ago
Hi, You can take a look at John Storey's web site, he has R code there for calculating q-values, their version of the FDR. However, I don't think that they have implemented the whole thing in R in anything publically avaialable, as they are marketing their excel package. You could always use the R-excel package at CRAN and just push the data back and forth. Or do it the way most of us do: write.table(...) open excel, do whatever Save as csv read.table(...) etc. Nicholas > ---------------------------------------------------------------------- > > Message: 1 > Date: Mon, 31 Mar 2003 15:30:09 +0800 > From: "Adaikalavan Ramasamy" <gisar@nus.edu.sg> > Subject: [BioC] SAM: Significance of Microarray Analysis availability > in R > To: <r-help@stat.math.ethz.ch>, <bioconductor@stat.math.ethz.ch> > Message-ID: > <024D6AEFCB92CB47BA1085751D184BB80105F236@MBXSRV03.stf.nus.edu.sg> > Content-Type: text/plain; charset="us-ascii" > > Dear all, > > I have been asked to compare the SAM method on some datasets I have. > Searching the archives and help files for SAM was not fruitful. As I > understand it is available as Excel add-in and not in R. > > I am wondering if anyone has written this (in R or S-PLUS) and would be > willing to share it or at least point me right direction. Thank you. > > Regards, Adai. > > > ------------------------------ > > _______________________________________________ > Bioconductor mailing list > Bioconductor@stat.math.ethz.ch > https://www.stat.math.ethz.ch/mailman/listinfo/bioconductor > > > End of Bioconductor Digest, Vol 1, Issue 285 > ******************************************** >
Microarray Microarray • 666 views
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