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The first is general and scientific, applicable to any multi-scale biological model; the methods can be applied using almost any programming language and modeling environment.
For the IGRF-10 SV model, the methods to estimate the average SV over its five year lifetime used a combination of polynomial extrapolation of satellite data and linear prediction filters applied to observatory data.
According to a different model, the methods for obtaining 3-D shape information with a structured light system can be simply divided into two main categories: one common way is using conventional binocular stereo vision or named 'CSV' model and the other strategy is adopting fringe projection profilometry (FPP) technique.
The simplest method of virtual simulation is to model the methods used with the conventional simulator.
A thorough description of the model, the methods used to build it and create simplified versions of it along with an interactive (clickable) map are available on our websites (http://bioinfo-out.curie.fr/projects/rbpathway/) and http://navicell.curie.fr/navicell/maps/rbe2f/master/).fr/navicell/maps/rbe2f/master/
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Methods based on probability statistics use the minimum change of time and space measure to model the method of probability.
Hence, using a specific mutation model, the method tests for an heterozygosity excess in the real data set in comparison with an equivalent population in equilibrium conditions [4].
If multiple stimuli are not incorporated into the model, the method cannot deal with them.
By inputting depth prior information or 3D models, the methods in [6, 7] can also restore haze-free images.
In the simulations involving 10 candidate models, the methods offer similar performance.
We describe the simulation model in the 'Methods' section.
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