Identification of Methylated Gene Biomarkers in Patients with Alzheimer's Disease Based on Machine Learning.

Journal: BioMed research international

Published Date: Jan 1, 2020

Abstract

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.

Authors

Jianting Ren

State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.
Bo Zhang

Department of Clinical Pharmacology, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China.
Dongfeng Wei

BABRI Centre, Beijing Normal University, Beijing 100875, China.
Zhanjun Zhang

State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.

Keywords

Alzheimer Disease Carrier Proteins Cyclin-Dependent Kinase Inhibitor p57 DNA Methylation DNA-Binding Proteins Gene Expression Regulation, Neoplastic Genetic Markers Humans Machine Learning Microfilament Proteins Mitochondrial Proteins Patients Peptide Hydrolases Protein Tyrosine Phosphatases Transcription Factors

External Resources

View on PubMed Access via DOI PubMed (32309439)

Identification of Methylated Gene Biomarkers in Patients with Alzheimer's Disease Based on Machine Learning.

Abstract

Authors

Keywords

External Resources

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