Question: converting intensity values to log ratios?
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gravatar for James W. MacDonald
7.4 years ago by
United States
James W. MacDonald50k wrote:
Hi Mark, On 1/31/2012 4:16 PM, Mark Baumeister wrote: > Hi all, > > I am trying to convert RMA normalized intensity values in my matrix > (generated from Affymetirx raw .CEL data composed of > ~30 tumor samples and 7 normal samples) to log ratios in which the > intensity values from each tumor sample are compared with a reference > sample (in this case I chose one of my normals). I was told that I could > use a function like > >> log(eset/esetRef,2) > to generate the new matrix containing log ratios. Wow. That was some horrible advice. Please stop relying on whoever told you that. First, please note that RMA normalized intensity values are already on the log_2 scale. So taking logs again isn't necessary, nor advisable. Second, why are you converting to log ratios? You are losing information for no apparent gain. Your best bet is to simply make comparisons between groups using something like limma or siggenes or multtest and proceed from there. Also note that the numerator of your statistic (which limma returns by default with the topTable() function) is the log ratio that you are seeking, so you get that for free. Best, Jim > > I have reduced my data using a general filter to remove low signal and low > variance: > >> dim(esetSubNat) > [1] 1470 36 >> dim(esetSubRef) > [1] 1470 1 > > When I try this log function I get the following error: > >> esetSubLog<- log(esetSubNat/esetSubRef,2) > Error in esetSubNat/esetSubRef : non-conformable arrays > Can anyone give me any idea where I am going wrong or how else I might try > to generate the log ratios? > > Thank you, > Mark > > > > > > http://sites.google.com/site/lfmmab/ > > [[alternative HTML version deleted]] > > _______________________________________________ > Bioconductor mailing list > Bioconductor at r-project.org > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor -- James W. MacDonald, M.S. Biostatistician Douglas Lab University of Michigan Department of Human Genetics 5912 Buhl 1241 E. Catherine St. Ann Arbor MI 48109-5618 734-615-7826 ********************************************************** Electronic Mail is not secure, may not be read every day, and should not be used for urgent or sensitive issues
multtest limma siggenes convert • 557 views
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