NLoed: A Python Package for Nonlinear Optimal Experimental Design in Systems Biology.

ABSTRACT: Modeling in systems and synthetic biology relies on accurate parameter estimates and predictions. Accurate model calibration relies, in turn, on data and on how well suited the available data are to a particular modeling task. Optimal experimental design (OED) techniques can be used to identify experiments and data collection procedures that will most efficiently contribute to a given modeling objective. However, implementation of OED is limited by currently available software tools that are not well suited for the diversity of nonlinear models and non-normal data commonly encountered in biological research. Moreover, existing OED tools do not make use of the state-of-the-art numerical tools, resulting in inefficient computation. Here, we present the NLoed software package and demonstrate

SUBMITTER: Braniff N 

PROVIDER: S-EPMC9765746 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature