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

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