In this repository, we present a comprehensive study exploring the application of various Machine Learning Algorithms to the analysis of human gene networks, specifically focusing on the datasets available on the HumanNet platform. This investigation includes a range of techniques such as Random Walk, Random Walk with Restart, Node Embeddings, and Community Detection, aiming to uncover new insights and methodologies in the analysis of complex biological systems.
The detailed findings and methodologies are thoroughly documented in Report.pdf.
This project constitutes the second assignment of the ECSE556 course at McGill University.
The project was ran using python3.11.5.
Install the requirements with:
pip install -r requirements.txt