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Unravelling Inflammatory Pathways in Parkinson's Disease: Insights from Pathway-Based Machine Learning Analysis of Transcriptomics Data.
GOMEZ DE LOPE, Elisa; GLAAB, Enrico
2023
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https://hdl.handle.net/10993/58090
 

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Keywords :
Parkinson's disease; omics data; machine learning; pathways; TNF-alpha; immunology
Abstract :
[en] The analysis of Parkinson's disease transcriptomics data using aggregated higher-level funcitonal representations identified neuroinflammaotry and immune response pathways. In particular several TNF-alpha/NF-kappa beta signalling complexes were identified.
Disciplines :
Immunology & infectious disease
Biochemistry, biophysics & molecular biology
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
GOMEZ DE LOPE, Elisa  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Biomedical Data Science
GLAAB, Enrico  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Biomedical Data Science
Language :
English
Title :
Unravelling Inflammatory Pathways in Parkinson's Disease: Insights from Pathway-Based Machine Learning Analysis of Transcriptomics Data.
Publication date :
2023
Event name :
RIKEN-Tsinghua International Summer Program (RISP)
Event organizer :
RIKEN Center for Integrative Medical Sciences and Tsinghua University
Event place :
Tokyo, Japan
Event date :
26-30
Audience :
International
Focus Area :
Systems Biomedicine
Computational Sciences
Funding text :
Collaboration agreement between LCSB and RIKEN research centers.
Available on ORBilu :
since 28 November 2023

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