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

HIGHLIGHTS

• who: Quentin Miagoux et al. from the Université Paris-Saclay, Univ Evry, Laboratoire Européen Recherche pour la Polyarthrite rhumatoïde-Genhotel, University of Lille, CNRS UMR, Inserm, Lille, France have published the research: Inference of an Integrative, Executable Network for Rheumatoid Arthritis Combining Data-Driven Machine Learning Approaches and a State-of-the-Art Mechanistic Disease Map, in the Journal: (JOURNAL)
• what: The authors aim to unravel mechanisms governing the regulation of key transcription factors in RA and derive patient-specific models to gain more insights into the disease heterogeneity and the response to . . .
  

   

  

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