[BioC] access Limma objects
James W. MacDonald
jmacdon at uw.edu
Mon Jul 16 15:42:21 CEST 2012
Hi Chuming,
On 7/16/2012 9:25 AM, Chuming Chen wrote:
> Hi All,
>
> Is there a way to get the normalized log mean intensity values from the limma analysis, and then to rank order these values from 1 to 100?
It depends on what you mean by 'the normalized log mean intensity
values'. After the lmFit() step, your MArrayLM object will have a
coefficients list item (e.g., if you do fit <- lmFit(mydata), then
fit$coefficients is what you want), which will contain all the estimated
coefficients from your model fit.
What those coefficients represent is dependent on how you specified your
model, and what type of data you are using (single color or two-color
data). So if you are using single-color data, and you fit a cell means
model, and you normalized and took logs, then the coefficients will be
the normalized log mean intensities for each sample type, by gene.
And rank ordering of data is trivial - see the Introduction to R if you
need help with that.
Best,
Jim
>
> Thanks,
>
> Chuming
>
> _______________________________________________
> 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
University of Washington
Environmental and Occupational Health Sciences
4225 Roosevelt Way NE, # 100
Seattle WA 98105-6099
More information about the Bioconductor
mailing list