Identification of therapeutic targets for Alzheimer’s Disease Treatment using bioinformatics and machine learning

Identification of therapeutic targets for Alzheimer’s Disease Treatment using bioinformatics and machine learning

Abstract Alzheimer’s disease (AD) is a complex neurodegenerative disorder that currently lacks effective treatment options. This study aimed to identify potential therapeutic targets for the treatment of AD using comprehensive bioinformatics methods and machine learning algorithms. By integrating di...

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Bibliographic Details
Main Authors: ZhanQiang Xie, YongLi Situ, Li Deng, Meng Liang, Hang Ding, Zhen Guo, QinYing Xu, Zhu Liang, Zheng Shao
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Alzheimer’s disease
WGCNA
Mfuzz
scRNA-seq
PLCB1
Neurons
Online Access:https://doi.org/10.1038/s41598-025-88134-w
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