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
-
Shift from chronic to episodic migraine frequency in a long-term phase 3 study of galcanezumab
by: Hans-Christoph Diener, et al.
Published: (2025-02-01) -
Epidemiology of clinically significant migraine in Israel: a retrospective database study
by: A. Shifrin, et al.
Published: (2025-02-01) -
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) -
Shared genetic risk and causal associations between Post-traumatic stress disorder and migraine with antithrombotic agents and other medications
by: Charlotte K. Bainomugisa, et al.
Published: (2025-01-01) -
Causal Association Between Obstructive Sleep Apnea and Migraine: A Bidirectional Mendelian Randomization Study
by: Wang YP, et al.
Published: (2025-01-01)