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Rather than detecting individual molecular biomarkers, Xin et al. (Chinese Academy of Sciences, China) developed a method to detect biomarkers at a network level based on protein-protein interaction affinity (PPIA) network modelling using linear programming [ 14].
Ward et al. do not express any explicit disagreement with the general form of statistical modelling, using linear mixed models for appropriately transformed outcomes, where the GM genotype is compared to appropriate comparator and reference varieties.
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Compliant impacts can be modeled using linear viscoelastic constitutive models.
Both the geosynthetic and the facing block were modeled using linear elastic model.
For families that are enrolled, program costs are modeled using linear regression and result in an expected program cost conditional on enrollment.
Data were collected and modeled using linear regression.
The abutment was modeled using linear stress strain criteria.
The change in disability count outcome between follow-up and baseline was modeled using linear regression.
The Winkler Model is considered a simplified model, in which the soil can be modeled using linear or nonlinear springs.
The presence of lignin was modelled using linear discriminant analysis (LDA), where the model could distinguish between high and low lignin content with 88% accuracy.
The associations between leukocyte TL and common TERC SNPs were modeled using linear regression models.
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