Both artists dared to work outside popular art parameters and became known for their singularity.
ART parameters examined in sensitivity analyses include efficacy, availability, and cost of both first- and second-line ART, and TB parameters examined include TB treatment outcomes, rates of TB mortality and cost of TB treatment.
Among state-of-the-art parameter estimation techniques, the MUSIC algorithm which can offer a so-called super-resolution probability for two sufficiently closely spaced sources is one of the most popular one.
We compared our framework to three state-of-the-art parameter estimation methods and found that our approach consistently generated higher quality parameter solutions efficiently.
The results suggest that the combination of state-of-the-art parameter estimation and a varied set of experimental methods using a few datasets, mostly fluorescence imaging data, can accurately determine parameters of biochemical models of gene regulation.
Next, we compared PEDI with three state-of-the-art parameter estimation methods, namely, the SRES (Runarsson and Yao, 2000), the HEKF + MM (Lillacci and Khammash, 2010) and the TDDM (Jia et al., 2011).
To see how PEDI performs in comparison with state-of-the-art parameter estimation methods, we applied SRES, HEKF + MM and TDDM to the parameter estimation of the same gene circuit models with the same datasets.
More generally, our results suggest that state-of-the-art parameter estimation and experimental design methods can in principle determine accurate parameters of biochemical models of gene regulation, but the task is considerably more difficult or maybe impossible to unequivocally solve if the knowledge of the topology is not precise, as often is the case.
We compared PEDI with three state-of-the-art parameter estimation methods, namely, the evolutionary strategy with stochastic ranking (SRES) (Runarsson and Yao, 2000), the moment matching method coupled with hybrid extended Kalman filter (HEKF + MM) (Lillacci and Khammash, 2010) and the two-phase dynamic decoupling method (TDDM) (Jia et al., 2011).
The gas turbine parameters were taken from an F-class commercial engine, and state-of-the-art parameters of the SOFC were used.
We compare our approach with a state-of-art parameter-based approach (PageRank with Priors or PRP) and with another parameter-free method (Interconnectedness or ICN).
