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.

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, May?s 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 > --