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The integration methods typically include Bayesian approaches, decision tress, support vector machines and neural networks [12], [19] [21].
Such methods typically include, for examples, targeted molecular dynamics (TMD) [38], [39] and biased molecular dynamics (BMD) [40], [41], in addition to SMD used here.
LCA methods typically include rules designed to find the subgroup solution that explains the most variance while requiring the simplest specification of the model.
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The objective of this paper is to show how to calculate DALYs using a discrete time formulation that is easy to teach to students and public health practitioners, is easy to apply for those with basic discounting skills, and is consistent with the discounting methods typically included on the costing side of cost-effectiveness analysis.
This approach is easy to teach to students and public health practitioners, is easy to apply for those with basic discounting skills, is consistent with the discounting methods typically included in the costing side of cost-effectiveness analysis, and all the assumptions imbedded in the analysis are very transparent.
This method typically includes a pipeline starting with the ITS2 database (source of sequence structure data), foursale or 4SALE (alignment) and ProfDistS3 (distance method for phylogenetic reconstruction) or a custom substitution matrix to be implemented in a maximum likelihood environment [ 50, 51].
Networks identified with ICA are compatible with networks found using seed-based methods and typically include less artifactual effects from noise.
Charting methods in LTC typically include scheduled nursing and medical assessments and volunteered complaints either to physician, nurses or healthcare aids found throughout the medical file.
Exact solving methods for these problems typically include branch and bound and local inference-based bounds.
9 Such methodologies typically include, among others, pharmacokinetics and pharmacodynamics modeling (PK/PD), statistical design methods, and signaling network reconstruction methods.
CisFinder was developed to process ChIP-seq or ChIP-chip data, which typically include several thousands of sequences (i.e. a few megabase) and cannot be effectively processed by probabilistic methods (e.g. MEME and Weeder).
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