Code for the paper: "Genetics-driven Risk Predictions leveraging the Mendelian Randomization framework" presented at RECOMB 2024 and published in Genome Research
If you find our code usefull for your work, please cite it as:
@ARTICLE{Sens2024,
title = "Genetics-driven risk predictions leveraging the Mendelian
randomization framework",
author = "Sens, Daniel and Shilova, Liubov and Gr{\"a}f, Ludwig and
Grebenshchikova, Maria and Eskofier, Bjoern M and Casale,
Francesco Paolo",
journal = "Genome Research",
publisher = "Cold Spring Harbor Laboratory",
month = sep,
year = 2024,
url = "https://www.genome.org/cgi/doi/10.1101/gr.279252.124"
}
If you want to run the showcase notebook and adapt the code please run:
git clone https://github.com/AIH-SGML/PRiMeR.git
cd PRiMeR
conda env create --file ./primer.yml
conda activate primer
pip install -e .
Check out ./examples/README.md
on how to run PRiMeR on your data.
This project is licensed under the terms of the GNU General Public License v3.0. See the LICENSE
file for details.