The Model of Aging Acceleration Network Reveals the Correlation of Alzheimer's Disease and Aging at System Level.

ABSTRACT: As the incidence of senile dementia continues to increase, researches on Alzheimer's disease (AD) have become more and more important. Several studies have reported that there is a close relationship between AD and aging. Some researchers even pointed out that if we wanted to understand AD in depth, mechanisms of AD based on accelerated aging must be studied. Nowadays, machine learning techniques have been utilized to deal with large and complex profiles, thus playing an important role in disease researches (i.e., modelling biological systems, identifying key modules based on biological networks, and so on). Here, we developed an aging predictor and an AD predictor using machine learning techniques, respectively. Both aging and AD biomarkers were identified to provide insights into genes a

SUBMITTER: Zhou M 

PROVIDER: S-EPMC6662274 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature