Correlation Networks To Uncover Changes in Protein Relationships in Spinocerebellar Ataxia Type 2 and Cerebellar Multiple System Atrophy

Correlation Networks To Uncover Changes in Protein Relationships in Spinocerebellar Ataxia Type 2 and Cerebellar Multiple System Atrophy

Rare neurological diseases (RNDs) are complex diseases characterized by significant heterogeneity in genetic, molecular, and pathological characteristics, which make them poorly understood and still challenging to diagnose and treat. Therefore, identifying methods that help improve diagnosis and dis...

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Bibliographic Details
Main Author: Aurelia Morabito (21566463) (author)
Other Authors: Giulia De Simone (16809073) (author), Stefania Magri (9334227) (author), Alessia Mongelli (9769595) (author), Manuela Ferrario (707527) (author), Roberta Pastorelli (6050858) (author), Caterina Mariotti (209729) (author), Franco Taroni (422080) (author), Luisa Diomede (108301) (author), Silvia Schiarea (458139) (author), Laura Brunelli (6050861) (author)
Published: 2025
Subjects:
Biochemistry
Medicine
Cell Biology
Genetics
Cancer
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
multiple system atrophy
help improve diagnosis
free proteomic analysis
approach allowed us
adult patients diagnosed
identify coregulation networks
gaussian graphical models
matched healthy controls
complex diseases characterized
graphical lasso
correlation networks
work introduces
uncover changes
two diseases
traditional methods
still challenging
specific pathways
significant heterogeneity
sca2 ),
proteomics research
protein relationships
protein profile
poorly understood
pathological characteristics
innovative workflow
identifying methods
fluid biomarkers
discrimination efficiency
differential characteristics
ctr ).
cerebellar subtype
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