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KiMONo is a network inference tool for multi-omics datasets. The multi-omics network is calculated by sparse-group-LASSO regression and can incorporate prior biological information using protein-protein Interactions.

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KiMONo

Knowledge guided multi-level network inference.

Tutorial can be found https://cellmapslab.github.io/kimono/

About

KiMONo is a network inference tool for multi-omics datasets. The multi-omics network is calculated by sparse-group-LASSO regression and can incorporate prior biological information using protein-protein Interactions.

Installation

You can either install KiMONo locally by cloning the repository or using the devtools package.

Local Installation

  1. In your terminal change the working directory to the location you want to install KiMONo

  2. Clone the repository:

git clone https://github.com/cellmapslab/kimono.git
  1. Install KiMONo in R and load the package
install.packages("yourpath/kimono/", repos = NULL, type = "source")
library(kimono)

Github Installation

  1. Install the devtools package and load it in R
install.packages("devtools")
library(devtools)
  1. Install KiMONo in R and load the package
install_github("cellmapslab/kimono")
library(kimono)

Installing dependencies CentOS

oem

CentOS needs a different version of RcppArmadillo(https://www.gitmemory.com/RcppCore) -> install.packages("RcppArmadillo", repos="https://rcppcore.github.io/drat")

About

KiMONo is a network inference tool for multi-omics datasets. The multi-omics network is calculated by sparse-group-LASSO regression and can incorporate prior biological information using protein-protein Interactions.

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