A new Bayesian methodology for nonlinear model calibration in Computational Systems Biology
Fortunato Bianconi, Lorenzo Tomassoni, Chiara Antonini, Paolo Valigi
This paper introduces a Bayesian method for nonlinear model calibration using omics data, showing it outperforms existing methods in robustness and computational efficiency.
Frontiers in Applied Mathematics and Statistics · Jul 15, 2020Peer-reviewedSystems Biology