Revealing Alzheimer’s disease genes spectrum in the whole-genome by machine learning

Revealing Alzheimer’s disease genes spectrum in the whole-genome by machine learning

Abstract Background Alzheimer’s disease (AD) is an important, progressive neurodegenerative disease, with a complex genetic architecture. A key goal of biomedical research is to seek out disease risk genes, and to elucidate the function of these risk genes in the development of disease. For this pur...

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Bibliographic Details
Main Authors: Xiaoyan Huang, Hankui Liu, Xinming Li, Liping Guan, Jiankang Li, Laurent Christian Asker M. Tellier, Huanming Yang, Jian Wang, Jianguo Zhang
Format: Article
Language:English
Published: BMC 2018-01-01
Series:BMC Neurology
Subjects:
Alzheimer’s disease
Gene
Machine learning
Online Access:http://link.springer.com/article/10.1186/s12883-017-1010-3

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http://link.springer.com/article/10.1186/s12883-017-1010-3

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