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Unlike most models that represent the variability of pixel intensity at a particular location in the image, they modelled the underlying warping of pixel locations arising from background motion.
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By directly modeling the underlying processes, a biophysics-based approach can overcome many limitations of the statistical methods mentioned above.
There are several broad classes of regulatory network inference methods that aim to reconstruct and model the underlying regulatory networks at varying degrees of detail.
In our GP models, we use the squared exponential covariance matrix to model the underlying smooth function.
By modelling the underlying rate parametrically, it is possible to estimate fitted curves from the model, such as the cumulative survival function.
Flexible parametric survival models use splines to model the underlying hazard function, and therefore no parametric distribution has to be specified.
Comparison of the distributions inferred from these studies is not always straightforward, as different methods can assume quite different parametric distributions to model the underlying DFE.
For this reason, it is practical to define a "fine grid" array for the purpose of modeling the underlying fluorescent protein spatial distribution.
The obtained mathematical model was found to be capable of modeling satisfactorily the underlying physical diffusion phenomenon.
According to the experimental observations in animal models, the underlying mechanisms of KD efficacy could be related to its ability to modulate cortical excitability [10, 11].
Based on the energy dissipation assumption and the modified Lindemann model, the underlying relationship between irradiation-induced crystallization and amorphization was clarified.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com