Plasma proteome dynamics of covid-19 severity learnt by a graph convolutional network of multi-scale topology

HIGHLIGHTS

• who: Methods and colleagues from the Universitu00e9 Sorbonne Paris Nord, LAGA, CNRS, UMR, Laboratoire d`excellence Inflamex, Villetaneuse, France Du00e9partement d`anesthu00e9sie-Ru00e9animation, INSERM, Universitu00e9 de Paris, AP-HP, Hou0302pital Bichat Claude Bernard, Paris, France Universitu00e9 de Paris, LVTS, Inserm, Paris, France Department of Genetics, University of Malaga, MLiMO, Mau0301laga, Spain have published the research work: Plasma proteome dynamics of COVID-19 severity learnt by a graph convolutional network of multi-scale topology, in the Journal: (JOURNAL)
• what: To better understand and track disease progression, the authors propose using information theory scores, as proposed by . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.