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