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Constraint-based modeling methods use the information in metabolic reconstructions to predict intracellular fluxes and design strains for chemical and biofuel production.
Pharmacophore modeling methods use structure-activity relationships of ligands to propose the three-dimensional properties that must be present in a molecule in order for it to possess a biological activity of interest.
Logistic regression is used to assess association between nPEP use and sexual risk and substance use, with generalized estimating equation (GEE) modeling methods use to account for within subject correlation of the repeated measure of nPEP.
Ray tracing-based conventional deterministic modeling methods use geometrically accurate data and rely on tabulated values for the electrical parameters of the building materials.
Template-based modeling methods use the known structures (templates) of the proteins that are homologous or analogous to a target protein to construct structural models for the target (Bowie et al., 1991; Jones, et al., 1992; Zhang, 2008a, b).
Hadar et al. (2010) presented an empirical study that compares the understanding of the requirements model expressed in two requirements modeling methods (Use Cases and Tropos).
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In many ANC applications, an on-line secondary path modeling method using white noise as a training signal is required to ensure convergence of the system.
Endotoxemic cirrhotic rat model was established through complex factor modeling method using carbon tetrachloride combined with high-fat diet [ 27, 28].
Both ligand-and structure-based molecular modeling methods used in pharmaceutical discovery can be adapted to provide this type of simulated data.
This research analyzes six information-modeling methods: use case diagram, rich picture diagram, entity-relationship diagram, Trochim's concept mapping, repertory grid, and causal mapping.
A T S modeling method using fuzzy satisfactory clustering (FSC) algorithm is introduced at first.
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