GenomeInterp
June 1, 2024
Overview
GenomeInterp is a PyTorch framework for training and interpreting neural networks that predict the regulatory effects of genomic variants.
Features
- Attention-based model architecture for sequence-to-function mapping
- Built-in saliency map and SHAP-based explanation tools
- Benchmarked on the ENCODE and GTEx datasets
Installation
pip install genomeinterp
Citation
@software{genomeinterp2024,
author = {Researcher, Alex},
title = {GenomeInterp},
year = {2024},
url = {https://github.com/yourname/genomeinterp}
}