This is the official repository for paper "Machine Learning Reveals Glycolytic Key Gene in Gastric Cancer Prognosis".
The relevant data and code are now available!
Clone the epository
git clone https://github.com/leenamx/ML-GCP.git
We recommend using Anaconda or Miniconda to create a virtual environment and install the required dependencies. We used Python and R for development and experiments.
Here is the tutorial for setting up the Python environment:
conda create -n mlgcp python=3.9
conda activate mlgcp
Install the dependencies
pip install -r requirements.txt
run the code
python ./src/MLGCP.py
- Datasets for Gene Set Enrichment Analysis (GSEA) [link]
- Datasets for The Cancer Genome Atlas (TCGA) [link]
This project is released under the MIT license.
If you have any questions or inquiries, please feel free to contact me.