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README.md
[![Build Status](https://travis-ci.com/abodein/netOmics.svg?branch=master)] (https://travis-ci.com/abodein/netOmics) [![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)] (https://www.gnu.org/licenses/gpl-3.0) # netOmics With netOmics, we go beyond integration by introducing an interpretation tool. netOmics is a package for the creation and exploration of multi-omics networks. Depending on the provided dataset, it allows to create inference networks from expression data but also interaction networks from knowledge databases. After merging the sub-networks to obtain a global multi-omics network, we propose network exploration methods using propoagation techniques to perform functional prediction or identification of molecular mechanisms. Furthermore, the package has been developed for longitudinal multi-omics data and can be used in conjunction with our previously published package timeOmics. for more examples, please visite https://github.com/abodein/netOmics-case-studies ## Installation ### Latest `BioConductor` Release To install this package, start R (version "4.1") and enter: ```r if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("netOmics") ``` ### Latest `GitHub` Version Install the devtools package in R, then load it and install the latest stable version of `netOmics` from `GitHub` ```r ## install devtools if not installed if (!requireNamespace("devtools", quietly = TRUE)) install.packages("devtools") ## install netOmics devtools::install_github("abodein/netOmics") ``` ## Citing *"Bodein, A., Scott-Boyer, M. P., Perin, O., Le Cao, K. A., & Droit, A. (2020). Interpretation of network-based integration from multi-omics longitudinal data. bioRxiv."* ## Maintainer Antoine Bodein (<antoine.bodein.1@ulaval.ca>) ## Bugs/Feature requests If you have any bugs or feature requests, [let us know](https://github.com/abodein/netOmics/issues). Thanks!