[BioC] Limma -time course - no replicates
Naomi Altman
naomi at stat.psu.edu
Tue Jun 8 16:49:27 CEST 2010
You can use LIMMA. The key is to have time be a continuous variable,
not a factor. So time (or a function of time) is entered into the
design matrix, instead of +/- 1 or 0.
--Naomi
At 02:11 AM 6/6/2010, Lana Schaffer wrote:
>Naomi,
>Can you please suggest a routine or software for us to use?
>Lana
>
>________________________________________
>From: Naomi Altman [naomi at stat.psu.edu]
>Sent: Friday, June 04, 2010 6:49 PM
>To: Lana Schaffer; bioconductor at stat.math.ethz.ch
>Subject: Re: [BioC] Limma -time course - no replicates
>
>Only if you consider this to be a regression on a function of time,
>instead of an ANOVA.
>
>--naomi
>
>At 07:12 PM 6/4/2010, Lana Schaffer wrote:
> >Hi,
> >We are trying to use Limma code for a Time Course Experiment without
> >Replicates for 4 times. From looking at the manual, looks like don't
> >Need replicates. But the ebayes routine complains about no residual
> >Degrees of freedom.
> >Can we use Limma for Time Course without replicates?
> >Lana
> >
> >_______________________________________________
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>
>Naomi S. Altman 814-865-3791 (voice)
>Associate Professor
>Dept. of Statistics 814-863-7114 (fax)
>Penn State University 814-865-1348 (Statistics)
>University Park, PA 16802-2111
>
>_______________________________________________
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>Bioconductor at stat.math.ethz.ch
>https://stat.ethz.ch/mailman/listinfo/bioconductor
>Search the archives:
>http://news.gmane.org/gmane.science.biology.informatics.conductor
Naomi S. Altman 814-865-3791 (voice)
Associate Professor
Dept. of Statistics 814-863-7114 (fax)
Penn State University 814-865-1348 (Statistics)
University Park, PA 16802-2111
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