anasrana / monet

Multi-Omics NETwork inference (MONET)

Multi-Omics NETwork inference (MONET)

We developed a novel Bayesian nonparametric regression approach called Multi-Omics NETwork inference (MONET) for high-dimensionality multi-modal data integration in order to quantify the temporally dependent forces driving development and to distinguish these from those induced by perturbation effects. Statistical inference is performed in a Bayesian setting using rstan an implementation in R of STAN (a probabilistic programming language for statistical inference).

Installation

Currently you can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("anasrana/monet")

Example

This is a basic example which shows you how to solve a common problem:

library(monet)
## basic example code