iHerd

iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease

Setup

Clone the repository.

git clone https://github.com/aicb-ZhangLabs/iHerd.git

Requirement

To create a new conda environment for iHerd, run this command.

conda env create -f iHerd.yaml

Code

We use hierarchical graph representation learning to quantify network changes and prioritize risk genes in disease. For more details, please refer to the HANE_structureOnly folder.

"script_HANE_CoExpression.sh" shows an example of how to run the code.