A collaborative network analysis for the interpretation of transcriptomics data in Huntington’s disease

A collaborative network analysis for the interpretation of transcriptomics data in Huntington’s disease

Abstract Rare diseases may affect the quality of life of patients and be life-threatening. Therapeutic opportunities are often limited, in part because of the lack of understanding of the molecular mechanisms underlying these diseases. This can be ascribed to the low prevalence of rare diseases and...

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Bibliographic Details
Main Authors: Ozan Ozisik, Nazli Sila Kara, Tooba Abbassi-Daloii, Morgane Térézol, Elsa C. Kuijper, Núria Queralt-Rosinach, Annika Jacobsen, Osman Ugur Sezerman, Marco Roos, Chris T. Evelo, Anaïs Baudot, Friederike Ehrhart, Eleni Mina
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Huntington’s disease
Rare disease
Network analysis
Collaborative analysis
Online Access:https://doi.org/10.1038/s41598-025-85580-4
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