Article

Deep learning-based identification of genetic variants: Application to Alzheimer’s disease classification

2021-07-22

Abstract excerpt

Deep learning is a promising tool that uses nonlinear transformations to extract features from high-dimensional data. Deep learning is challenging in genome–wide association studies (GWAS) with high-dimensional genomic data. Here we propose a novel three-step approach (SWAT-CNN) for identification of genetic variants using deep learning to identify phenotype-related single nucleotide polymorphisms (SNPs) that can...

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Literature Corpus work: 4bb71f5d-c335-59f0-a5eb-5e07e082de03
DOI: 10.1101/2021.07.19.21260789

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