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Exploring the druggable space around the Fanconi anemia pathway using machine learning and mechanistic models.

Marina Esteban-MedinaMaría Peña-ChiletCarlos LouceraJoaquín Dopazo
Published in: BMC bioinformatics (2019)
The use of artificial intelligence methods for the prediction of potentially causal relationships between proteins of interest and cell activities related with disease-related phenotypes opens promising avenues for the systematic search of new targets in rare diseases.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • stem cells
  • bone marrow
  • mesenchymal stem cells
  • iron deficiency