This repository has been moved to SWAT.
The following content is from the previous version of this repository. Please refer to the new SWAT repository for the latest updates.
A novel three-step approach for identification of genetic variants using deep learning to identify phenotype-related SNPs that can be applied to develop accurate disease classification models.
SWAT(Sliding Window Association Test)-CNN is a data-customized approach. We demonstrate how SWAT-CNN can be applied to GWAS data in the following paper.
- Jo, T., Nho, K., Bice, P., Saykin, A. J., & Alzheimer’s Disease Neuroimaging Initiative. (2022). Deep learning-based identification of genetic variants: application to Alzheimer’s disease classification. Briefings in Bioinformatics, 23(2), bbac022.