Uncovering the epigenetic regulatory clues of PRRT1 in Alzheimer’s disease: a strategy integrating multi-omics analysis with explainable machine learning
Abstract Background Alzheimer’s disease (AD) is a complex neurodegenerative disorder with a largely unexplored epigenetic landscape. Objective This study employs an innovative approach that integrates multi-omics analysis and explainable machine learning to explore the epigenetic regulatory mechanis...
Saved in:
Main Authors: | Fang Wang, Ying Liang, Qin-Wen Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2025-01-01
|
Series: | Alzheimer’s Research & Therapy |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13195-024-01646-x |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Uncovering the molecular mechanisms behind Alzheimer’s and Parkinson’s disease through multi-omics: an interview with Bruno A. Benitez
by: Bruno A. Benitez
Published: (2025-01-01) -
Sex differences in epigenetic ageing for older people living with HIVResearch in context
by: Carrie D. Johnston, et al.
Published: (2025-03-01) -
Machine learning and multi-omics in precision medicine for ME/CFS
by: Katherine Huang, et al.
Published: (2025-01-01) -
Epigenetic and gene regulatory functions of small RNAs
by: Cecere, Germano
Published: (2023-12-01) -
Advances in the application of multi-omics and machine learning technologies in sepsis research
by: Chen Pengpeng, et al.
Published: (2024-12-01)