[BioC] Gene Expression Meta Analysis

[gokmenzararsiz at erciyes.edu.tr]

Hello,

You can use RankAggreg package which has both Monte Carlo cross-entropy
also genetic algorithm approaches to combine the results of each study
result. You can also give weights to each study based on their sample
size, or other factors as you want.

Here its manual:

http://cran.r-project.org/web/packages/RankAggreg/RankAggreg.pdf

and its published paper:

http://www.biomedcentral.com/1471-2105/10/62

Best,

Gokmen Zararsiz

--

On Thu, Mayýs 1, 2014, "Vlad [guest]" <guest at bioconductor.org> said:

> 
> Friends,
> 
> Could you, please, help me to find gene expression meta analysis tutorial. I have several microarray studies and need to combine them. I am not bioinformatician/biologist, so I need really step-by-step instructions. Sometimes, authors supply their papers with step-by-step instructions. I need something that will work, and I don't carry about quality of results. Thank you! 
> 
> 
>  -- output of sessionInfo(): 
> 
> na
> 
> --
> Sent via the guest posting facility at bioconductor.org.
> 
> _______________________________________________
> 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
> 

--