Machine learning-driven identification of critical gene programs and key transcription factors in migraine
Abstract Background Migraine is a complex neurological disorder characterized by recurrent episodes of severe headaches. Although genetic factors have been implicated, the precise molecular mechanisms, particularly gene expression patterns in migraine-associated brain regions, remain unclear. This s...
Saved in:
Main Authors: | Lei Zhang, Yujie Li, Yunhao Xu, Wei Wang, Guangyu Guo |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2025-01-01
|
Series: | The Journal of Headache and Pain |
Subjects: | |
Online Access: | https://doi.org/10.1186/s10194-025-01950-3 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Epidemiology of clinically significant migraine in Israel: a retrospective database study
by: A. Shifrin, et al.
Published: (2025-02-01) -
Causal Association Between Obstructive Sleep Apnea and Migraine: A Bidirectional Mendelian Randomization Study
by: Wang YP, et al.
Published: (2025-01-01) -
The epidemiology and unmet need of migraine in five european countries: results from the national health and wellness survey
by: Gianluca Coppola, et al.
Published: (2025-01-01) -
Exploring the association between statins use or HMG-CoA reductase inhibition and migraine: a systematic review and meta-analysis
by: Hamdy A. Makhlouf, et al.
Published: (2025-02-01) -
The diagnosis and treatment of migraine among medical students in 2010–2011 and 2019
by: E. Bacevičiūtė, et al.
Published: (2020-03-01)