--- output: github_document --- <!-- Grab your social icons from https://github.com/carlsednaoui/gitsocial --> [1.2]: http://i.imgur.com/wWzX9uB.png (me on Twitter) [1]: http://www.twitter.com/franapoli <!-- Grab your social icons from https://github.com/carlsednaoui/gitsocial --> ## gep2pep Pathway Expression Profiles (PEPs) are based on the expression of pathways (defined as sets of genes) as opposed to individual genes. This package converts gene expression profiles to PEPs and performs enrichment analysis of both pathways and experimental conditions, such as "drug set enrichment analysis" and "gene2drug" drug discovery analysis. A [paper](http://rdcu.be/pklt) about drug set enrichment analysis has been published in Bioinformatics, and a [paper](https://doi.org/10.1101/192005) about gene2drug analysis is currently on BioRxiv. Gep2pep is maintained by Francesco Napolitano [![alt text][1.2]][1] ## Download and Installation The latest stable release can be downloaded from Github at [https://github.com/franapoli/gep2pep](https://www.github.com/franapoli/gep2pep). Gep2pep can then be installed from the downloaded sources as follows: > install.packages("path-to-downloaded-source", repos=NULL)