Topological sensitivity analysis for systems biology.

ABSTRACT: Mathematical models of natural systems are abstractions of much more complicated processes. Developing informative and realistic models of such systems typically involves suitable statistical inference methods, domain expertise, and a modicum of luck. Except for cases where physical principles provide sufficient guidance, it will also be generally possible to come up with a large number of potential models that are compatible with a given natural system and any finite amount of data generated from experiments on that system. Here we develop a computational framework to systematically evaluate potentially vast sets of candidate differential equation models in light of experimental and prior knowledge about biological systems. This topological sensitivity analysis enables us to evaluate quan

SUBMITTER: Babtie AC 

PROVIDER: S-EPMC4284538 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature