https://github.com/cellmapslab/kimono
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.
https://github.com/cellmapslab/kimono
data-integration multi-omic network-inference
Last synced: 4 days ago
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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.
- Host: GitHub
- URL: https://github.com/cellmapslab/kimono
- Owner: cellmapslab
- Created: 2020-02-02T13:18:59.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2022-11-21T17:10:29.000Z (over 3 years ago)
- Last Synced: 2025-12-09T03:52:55.871Z (3 months ago)
- Topics: data-integration, multi-omic, network-inference
- Language: R
- Homepage:
- Size: 4.88 MB
- Stars: 9
- Watchers: 2
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# KiMONo
Knowledge guided multi-level network inference.
Tutorial can be found [https://cellmapslab.github.io/kimono/](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:
```sh
git clone https://github.com/cellmapslab/kimono.git
```
3. Install KiMONo in R and load the package
```R
install.packages("yourpath/kimono/", repos = NULL, type = "source")
library(kimono)
```
#### Github Installation
1. Install the devtools package and load it in R
```R
install.packages("devtools")
library(devtools)
```
2. Install KiMONo in R and load the package
```R
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")