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Conceptual models allow knowledge organization through representation of relationships between variables and processes, facilitating management decisions.
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Integrated maps that link crop and model plants allow knowledge gained from independent research on different plants to be accumulated [ 17].
An optimal CDS model should allow knowledge engineers to specify the criteria that govern which interventions are available and the rules that govern the interplay among a trigger, input data, and the intervention [ 28].
The purpose of this approach consists of conceptual models design allowing knowledge structuration according to multiple completeness scales.
DMMs allow knowledge about adjacent structures to be incorporated in the model and therefore are capable of producing more accurate segmentation [ 9].
The epistemic models allow a rough, knowledge-based estimation of probabilities of damage from abnormal actions.
Such models allow incorporation of prior knowledge about the dynamics of the process and has been successfully applied to gene expression data [ 25].
Technology is the application of existing knowledge; its models allow most everything to vary.
Bayesian models allow for informative priors such that prior knowledge can be used to inform the current model.
The nonparametric regression models allow the inclusion of dominance effects without having knowledge of the dominance variance component.
Orthologous relationships between drought genes and the major gene complements represented within PlantsDB will be calculated on a regular basis allowing knowledge transfer between model and crop plants and may provide new insights into drought-related gene family dynamics.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com