A simulative deep learning model of SNP interactions on chromosome 19 for predicting Alzheimer's disease risk and rates of disease progression.

Abstract

Authors

• Jinhyeong Bae
  Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA. Electronic address: jinhyeongbae2017@u.northwestern.edu.
• Paige E Logan
  Department of Neurology, School of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.
• Dominic J Acri
  Department of Medical and Molecular Genetics, School of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.
• Apoorva Bharthur
  Department of Neurology, School of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.
• Kwangsik Nho
  Radiology & Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
• Andrew J Saykin
  Indiana University, Indianapolis, IN 46202, USA.
• Shannon L Risacher
  Radiology & Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
• Kelly Nudelman
  Department of Medical and Molecular Genetics, School of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.
• Angelina J Polsinelli
  Department of Neurology, School of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.
• Valentin Pentchev
  Department of Information Technology, Indiana University Network Science Institute, Bloomington, Indiana, USA.
• Jungsu Kim
  Department of Medicine, University of California San Diego, La Jolla, CA 92039, USA.
• Dustin B Hammers
  Department of Neurology, School of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.
• Liana G Apostolova
  Department of Neurology, School of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.

Keywords

External Resources