# ceTF <img src="vignettes/logo.png" align="right" width="300" /> An implementation of PCIT and RIF analysis in R ## Overview This package provides the necessary instructions for performing the Partial Correlation coefficient with Information Theory (PCIT) from [Reverter and Chan 2008](https://doi.org/10.1093/bioinformatics/btn482) and Regulatory Impact Factors (RIF) from [Reverter et al. 2010](https://doi.org/10.1093/bioinformatics/btq051) algorithm. The PCIT algorithm identifies meaningful correlations to define edges in a weighted network. The algorithm can be applied to any correlation-based network including but not limited to gene co-expression networks. While the RIF algorithm identify critical transcript factors (TF) from gene expression data. These two algorithms when combined provide a very relevant layer of information for gene expression studies (Microarray, RNA-seq and single-cell RNA-seq data). ## Installation To properly run <b>ceTF</b> package is necessary to install some dependencies. For Linux users is necessary to install the following dependencies: * libcurl4-openssl-dev * libxml2-dev * libssl-dev * gfortran * build-essential * libz-dev * zlib1g-dev To install R packages dependencies, run: ```R #CRAN dependencies packagesCRAN <- c('BiocManager', 'crayon', 'dplyr', 'geomnet', 'GGally', 'ggplot2', 'ggpubr', 'ggrepel', 'kableExtra', 'knitr', 'network', 'pbapply', 'reshape2', 'rmarkdown', 'scales', 'testthat', 'tidyr') install.packages(packagesCRAN[!packagesCRAN %in% installed.packages()[,1]]) #Bioconductor dependencies packagesBioc <- c('airway', 'clusterProfiler', 'DESeq2', 'org.Hs.eg.db', 'SummarizedExperiment') BiocManager::install(packagesBioc[!packagesBioc %in% installed.packages()[,1]]) ``` Finally, to install ceTF package: ```R devtools::install_github("cbiagii/ceTF") ``` ## Docker To install docker follow the instructions in the links below depending on your operating system * CentOS: https://docs.docker.com/install/linux/docker-ce/centos/ * Debian: https://docs.docker.com/install/linux/docker-ce/debian/ * Fedora: https://docs.docker.com/install/linux/docker-ce/fedora/ * Ubuntu: https://docs.docker.com/install/linux/docker-ce/ubuntu/ * MacOS: https://docs.docker.com/docker-for-mac/install/ * Windows: https://docs.docker.com/docker-for-windows/install/ #### Docker pull Once docker is installed, the next step is pull the **ceTF** image from dockerhub using the following command: ```docker docker pull biagii/ceTF:0.99.0 ``` #### Running image There are several differents parameters to run the downloaded image. The most commom way is executing the following command: ```docker docker run --rm -d -p PORT:PORT -e PASSWORD=password --name [ANY_NAME] -v /server/path/:/docker/path/ -e USERID=$UID biagii/ceTF:0.99.0 ``` Once the docker image is running, the Rstudio interface with all the necessary dependencies will be made available, and of course the ceTF package, installed ready for use. ## Help <p>Any questions contact the developer by email: <a href="#">biagi@usp.br</a></p>