Exact(14)
The resulting method can be thought of as a retrospective approach, modelling genotype given trait value, in contrast to prospective approaches that model trait given genotype.
Although there are many approaches that model and parallelize phylogenetic analysis as scientific workflows, exploring all MSA methods becomes a complex and expensive task to be performed.
We also discuss gene environment interactions, a major challenge in complex disease genetics, and we present examples of cell-based approaches that model these interactions in vitro under controlled conditions.
Figure 1b, c shows conventional dual-porosity and DFN approaches that model the realistic fractures in a limestone fractured reservoir.
The second group includes probabilistic approaches that model the joint probability for entities in a network by Bayesian graphical models [31].
Parametric approaches that model the corrupting noise as a linear combination of a sparse vector of outliers (possibly gross errors) and a dense vector of small bounded noise have been proposed in the literature.
Similar(46)
We used an approach that models the behavior of the surfactant-oil-water-microemulsion system based on solubility data.
In the absence of a reliable mechanistic model, one can resort to the Bayesian nonparametric approach that models the individual curves as Gaussian processes.
We present an approach that models regulations such that compliance arguments can be made in a principled way based on architectural requirements and architectural decisions.
This paper introduces an approach that models multi-rate non-linear systems to exploit the characteristics of both sensors, assuming synchronicity and periodicity of measurements.
We discuss an approach that models various 'design' options in detail so that the software control flow can be optimised via decision theory.
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Justyna Jupowicz-Kozak
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