[BioC] mixed models analysis with limma

[Gordon K Smyth]

Dear Christian,

See Section 8.2 of the limma User's Guide.  The 'block' argument of 
duplicateCorrelation() and lmFit() handles random effects.

Best wishes
Gordon

> Date: Fri, 25 Sep 2009 08:33:43 +0200
> From: Christian Bri?re <briere at scsv.ups-tlse.fr>
> Subject: [BioC] mixed models analysis with limma
> To: bioconductor at stat.math.ethz.ch
> Content-Type: text/plain
>
> Hello,
>
> I would like to know whether it is possible to analyze microarray data
> from a mixed model experiment with Limma package.
> I have 4 independent experiments (random effect) and 3 treatments (fixed
> effect), and 1 microarray (monocolor) for each combination of the two
> factors.
>
> Thank you for your help
> -- 
>
> Christian Brière
> UMR CNRS-UPS 5546
> BP42617 Auzeville
> F-31326 Castanet-Tolosan (France)
> tel: +33(0)5 62 19 35 90
> Fax: +33(0)5 62 19 35 02
> E-mail: briere at scsv.ups-tlse.fr <mailto:briere at scsv.ups-tlse.fr>
>
> http://www.scsv.ups-tlse.fr
> http://www.gdr2688.ups-tlse.fr <http://www.gdr2688.ups-tlse.fr/index.php>
> http://www.ifr40.cnrs.fr