Using the structure of genome data in the design of deep neural networks for predicting amyotrophic lateral sclerosis from genotype
Abstract
Motivation Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease caused by aberrations in the genome. While several disease-causing variants have been identified, a major part of heritability remains unexplained. ALS is believed to have a complex genetic basis where non-additive combinations of variants constitute disease, which cannot be picked up using the linear models employed in classical genotype–phenotype association studies....
Paper Details
Title
Using the structure of genome data in the design of deep neural networks for predicting amyotrophic lateral sclerosis from genotype
Published Date
Jul 1, 2019
Journal
Volume
35
Issue
14
Pages
i538 - i547
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