metapredict
enables meta-analysis of gene expression using the elastic net (i.e., glmnet
). For technical details, please check out the paper.
Install the package in your local version of R:
source('https://bioconductor.org/biocLite.R')
biocLite(c('org.Hs.eg.db', 'org.Mm.eg.db', 'org.Dr.eg.db'))
install.packages('devtools')
devtools::install_github('jakejh/metapredict', repos=BiocInstaller::biocinstallRepos())
Or use a pre-built docker image, which has all dependencies already installed:
docker pull jakejh/hugheyverse
First follow the instructions to download and prepare the data for the example meta-analysis.
file.show(system.file('extdata', 'prepare_example.html', package='metapredict'))
Then work through the example meta-analysis.
file.show(system.file('extdata', 'run_example.html', package='metapredict'))
Finally, consult the detailed guide to running your own meta-analysis.
file.show(system.file('extdata', 'guide.html', package='metapredict'))