Identification of Methylated Gene Biomarkers in Patients with Alzheimer’s Disease Based on Machine Learning
Background. Alzheimer’s disease (AD) is a neurodegenerative disorder and characterized by the cognitive impairments. It is essential to identify potential gene biomarkers for AD pathology. Methods. DNA methylation expression data of patients with AD were downloaded from the Gene Expression Omnibus (...
Main Authors: | Jianting Ren, Bo Zhang, Dongfeng Wei, Zhanjun Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2020-01-01
|
Series: | BioMed Research International |
Online Access: | http://dx.doi.org/10.1155/2020/8348147 |
Similar Items
-
Machine Learning and Novel Biomarkers for the Diagnosis of Alzheimer’s Disease
by: Chun-Hung Chang, et al.
Published: (2021-03-01) -
Identification of potential biomarkers for pathogenesis of Alzheimer’s disease
by: Huimin Wang, et al.
Published: (2021-07-01) -
Revealing Alzheimer’s disease genes spectrum in the whole-genome by machine learning
by: Xiaoyan Huang, et al.
Published: (2018-01-01) -
The exploration of gene biomarkers and microRNA biomarkers on Alzheimer’s disease
by: Meng-Chieh Lee, et al.
Published: (2012) -
Detection of Alzheimer’s disease by displacement field and machine learning
by: Yudong Zhang, et al.
Published: (2015-09-01)