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Inference of an integrative, executable network for Rheumatoid Arthritis combining data-driven machine learning approaches and a state-of-the-art mechanistic disease map

2021-01-30

Abstract excerpt

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 through the integration of different layers of biological information. Combining multiple data types can help compensate for missing or conflicting information and limit the possibility of false positive...

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Literature Corpus work
b046d1e0-8cd8-5719-97d3-23ac6a7c1976
DOI
10.1101/2021.01.28.428679
Open publication

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Inference of an integrative, executable network for Rheumatoid Arthritis combining data-driven machine learning approaches and a state-of-the-art mechanistic disease mapDOI 10.1101/2021.01.28.428679
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