Inference of an Integrative, Executable Network for Rheumatoid Arthritis Combining Data-Driven Machine Learning Approaches and a State-of-the-Art Mechanistic Disease Map

Inference of an Integrative, Executable Network for Rheumatoid Arthritis Combining Data-Driven Machine Learning Approaches and a State-of-the-Art Mechanistic Disease Map

Rheumatoid arthritis (RA) is a multifactorial, complex autoimmune disease that involves various genetic, environmental, and epigenetic factors. Systems biology approaches provide the means to study complex diseases by integrating different layers of biological information. Combining multiple data ty...

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Bibliographic Details
Main Authors: Quentin Miagoux, Vidisha Singh, Dereck de Mézquita, Valerie Chaudru, Mohamed Elati, Elisabeth Petit-Teixeira, Anna Niarakis
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Journal of Personalized Medicine
Subjects:
network inference
integrative biology
rheumatoid arthritis
signaling cascades
gene regulation
transcription factors
Online Access:https://www.mdpi.com/2075-4426/11/8/785

Internet

https://www.mdpi.com/2075-4426/11/8/785

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