Knowledge‐driven computational modeling in Alzheimer's disease research: Current state and future trends-Reference-Cited by-同舟云学术

Knowledge‐driven computational modeling in Alzheimer's disease research: Current state and future trends

Published:2017-09-14 Issue:11 Volume:13 Page:1292-1302
ISSN:1552-5260
Container-title:Alzheimer's & Dementia
language:en
Short-container-title:Alzheimer's & Dementia

Author:

Geerts Hugo¹²,Hofmann‐Apitius Martin³,Anastasio Thomas J.⁴,

Affiliation:

1. In Silico Biosciences Berwyn PA USA

2. Perelman School of Medicine Univ. of Pennsylvania

3. Fraunhofer Institute for Algorithms and Scientific Computing (SCAI) Sankt Augustin Germany

4. Department of Molecular and Integrative Physiology, and Beckman Institute for Advanced Science and Technology University of Illinois at Urbana‐Champaign Urbana IL USA

Publisher

Wiley

Subject

Psychiatry and Mental health,Cellular and Molecular Neuroscience,Geriatrics and Gerontology,Clinical Neurology,Developmental Neuroscience,Health Policy,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1016/j.jalz.2017.08.011

Reference73 articles.

1. Impact of the Alzheimer's Disease Neuroimaging Initiative, 2004 to 2014

2. Development of interventions for the secondary prevention of Alzheimer's dementia: the European Prevention of Alzheimer's Dementia (EPAD) project

3. Integrating the Alzheimer's Disease Proteome and Transcriptome: A Comprehensive Network Model of a Complex Disease

4. AlzPathway: a comprehensive map of signaling pathways of Alzheimer’s disease

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