Characterizing Gene and Protein Crosstalks in Subjects at Risk of Developing Alzheimer’s Disease: A New Computational Approach-Reference-Cited by-同舟云学术

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Characterizing Gene and Protein Crosstalks in Subjects at Risk of Developing Alzheimer’s Disease: A New Computational Approach

Published:2017-08-17 Issue:4 Volume:5 Page:47
ISSN:2227-9717
Container-title:Processes
language:en
Short-container-title:Processes

Author:

Padmanabhan Kanchana,Nudelman Kelly,Harenberg Steve,Bello Gonzalo,Sohn Dongwha,Shpanskaya Katie,Tiwari Dikshit Priyanka,Yerramsetty Pallavi,Tanzi Rudolph,Saykin Andrew,Petrella Jeffrey,Doraiswamy P.,Samatova Nagiza,Alzheimer’s Disease Neuroimaging Initiative

Publisher

MDPI AG

Subject

Process Chemistry and Technology,Chemical Engineering (miscellaneous),Bioengineering

Link

http://www.mdpi.com/2227-9717/5/3/47/pdf

Reference71 articles.

1. National estimates of the prevalence of Alzheimer's disease in the United States

2. 2017 Alzheimer’s Disease Facts and Figures;Alzheimers Dement.,2017

3. Deaths: Leading causes for 2010;Heron;Natl. Vital Stat. Rep.,2013

4. Genetic studies of quantitative MCI and AD phenotypes in ADNI: Progress, opportunities, and plans

5. Plasma microRNA biomarkers for detection of mild cognitive impairment: Biomarker Validation Study

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Computational modelling of TNFα related pathways regulated by neuroinflammation, oxidative stress and insulin resistance in neurodegeneration;Applied Network Science;2020-09-25

2. Special Issue on “Biological Networks”;Processes;2018-11-27

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