Transcriptomics profiling of Parkinson’s disease progression subtypes reveals distinctive patterns of gene expression
Background Parkinson’s Disease (PD) varies widely among individuals, and Artificial Intelligence (AI) has recently helped to identify three disease progression subtypes. While their clinical features are already known, their gene expression profiles remain unexplored. Objectives The objectives of th...
Saved in:
Main Authors: | Carlo Fabrizio, Andrea Termine, Carlo Caltagirone |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2025-09-01
|
Series: | Journal of Central Nervous System Disease |
Online Access: | https://doi.org/10.1177/11795735241286821 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Individualized brain radiomics-based network tracks distinct subtypes and abnormal patterns in prodromal Parkinson's disease
by: Lin Hua, et al.
Published: (2025-02-01) -
Transcriptome Comparison Reveals Distinct Selection Patterns in Domesticated and Wild Agave Species, the Important CAM Plants
by: Xing Huang, et al.
Published: (2018-01-01) -
Distinct expression profile reveals glia involvement in the trigeminal system attributing to post-traumatic headache
by: Gurueswar Nagarajan, et al.
Published: (2024-11-01) -
Correction: Distinct expression profile reveals glia involvement in the trigeminal system attributing to post‑traumatic headache
by: Gurueswar Nagarajan, et al.
Published: (2025-01-01) -
Classification of distinct tendinopathy subtypes for precision therapeutics
by: Chenqi Tang, et al.
Published: (2024-11-01)