Browse by UCL Departments and Centres
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Number of items: 2.
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                Russell-Buckland, J;
              
      
            
                Barnes, CP;
              
      
            
                Tachtsidis, I;
              
      
        
        
  
(2019)
  A Bayesian framework for the analysis of systems biology models of the brain.
PLoS Computational Biology
, 15
       (4)
    
    
    
    , Article e1006631.     10.1371/journal.pcbi.1006631.
   (In press).
  
       
    
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T
      
    
        
          
            
                Tomašev, N;
              
      
            
                Glorot, X;
              
      
            
                Rae, JW;
              
      
            
                Zielinski, M;
              
      
            
                Askham, H;
              
      
            
                Saraiva, A;
              
      
            
                Mottram, A;
              
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
            ... Mohamed, S; + view all
            
          
      
        
        
        
    
  
(2019)
  A Clinically Applicable Approach to Continuous Prediction of Future Acute Kidney Injury.
Nature
, 572
      
    
     pp. 116-119.
    
         10.1038/s41586-019-1390-1.
  
  
       
    
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