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    • A Machine Learning Platform to Optimize the Translation of Personalized Network Models to the Clinic. 

      Salvucci, M; Rahman, A; Resler, AJ; Udupi, GM; McNamara, DA; Kay, EW; Laurent-Puig, P; Longley, DB; Johnston, PG; Lawler, M; Wilson, R; Salto-Tellez, M; Van Schaeybroeck, S; Rafferty, M; Gallagher, WM; Rehm, M; Prehn, JHM (2019-04)
      <h4>Purpose</h4>Dynamic network models predict clinical prognosis and inform therapeutic intervention by elucidating disease-driven aberrations at the systems level. However, the personalization of model predictions requires ...