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Predicting late-onset Alzheimer’s disease from genomic data using deep neural networks

2019-05-06

Abstract excerpt

Alzheimer’s disease (AD) is the leading form of dementia. Over 25 million cases have been estimated worldwide and this number is predicted to increase two-fold every 20 years. Even though there is a variety of clinical markers available for the diagnosis of AD, the accurate and timely diagnosis of this disease remains elusive. Recently, over a dozen of genetic variants predisposing to the disease have been identif...

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Literature Corpus work
f53caf6f-cb21-5300-b720-5a6da693f18c
DOI
10.1101/629402
Open publication

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