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LUR modelling uses nearby traffic, land use and population variables to explain the spatial variability of air quality [ 33].
Interactome modelling uses seed genes, in this case JIA-associated genes, to infer a network of protein:protein interactions, which are derived from known interactions between the seed genes and their near neighbours [ 33].
The numerical modelling uses ANSYS Workbench 16.2.
The analysis of the modelling uses synthetic data validated by industry domain experts.
The first one, a landscape gentic modelling, uses directly the GeoGermplasmDB and WFS associated to describe spatially genetic distances of germplasms.
Thus, this study is framed as a medium resolution DTM for regional assessments and the modelling uses a project scenario from 0.5 to 2.0 m drawn from possible SLR and storm surge explanations provided in the literature (Rahmstorf et al. 2007, 2012a, b; Church et al. 2013).
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The missing residues were modeled using MODELLER [65].
Any incident STIs versus none were modeled using dichotomous random effects models using Proc NLMIXED.
All constructs were modelled using reflective indicators.
Amino acid changes were modeled using RosettaDesign.
3D objects were modelled using OpenSCAD [ 15].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com