Scalable parameter estimation for genome-scale biochemical reaction networks
Fabian Fröhlich, Barbara Kaltenbacher, Fabian Joachim Theis, Jan Hasenauer
This paper introduces a scalable method for parameter estimation in genome-scale biochemical reaction networks using adjoint sensitivity analysis, showing improved efficiency and scalability compared to existing methods.
PLoS Computational Biology · Jan 23, 2017Peer-reviewedSystems Biology