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It is shown that through characterizing frequency response from input to temperature at each spatial point, a distributed parameter system with nominal model and additive uncertainty weight, both of which are real rational, is reconstructed using knowledge of the eigenstructure.
This meta-analysis suggested that there were significant associations between MTHFR C677T polymorphism and POAG in allelic model and additive model for PB subgroup which indicated that the T allele or TT genotype might increase the risk of POAG, whereas no evidence of significant association was shown of the overall studied population.
In the software, based on Lagrange multiplier method and Coulomb friction law, kinematic constraints on contact boundaries were introduced in functional function, and the finite element equations was established for two incremental large deformation analyses models, polar decomposition model and additive decomposition model.
BDNF rs6265 (G/A) polymorphism and rs2049046 (A/T) polymorphism were evaluated separately in the allele model, dominant model, recessive model and additive model.
For the main effect of single SNP analysis, we tested three different genetic models: dominant model, recessive model, and additive model.
Significant heterogeneities were observed in the overall analysis of the association between the rs872071 polymorphism and haematological malignancies risk in four genetic models (homozygote comparison, heterozygote comparison, dominant genetic model and additive model).
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Estimated variances and predictabilities under additive model and additive-dominance model.
The SNP rs12218 was associated with carotid IMT by analyses of a dominate model (P<0.001) and additive model (P = 0.003), and the difference remained significant after multivariate adjustment (P = 0.008, P<0.001, respectively).
These datasets simulate specific characteristics of gene expression data, such as heavy tail properties, using three settings: multiplicative models and additive models under signals according to N ±2,0.5) and N ±4,0.5) distributions [ 64].
Equations (15),(17) give the marginal effect of having the genotype S1=1 under an additive model and an additive model with an interaction for arbitrary effect sizes and for arbitrary genotype frequencies.
This adjustment was performed first on the test statistics obtained by modeling dominant and additive genetic models for each SNP.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com