Sentence examples for model with marker from inspiring English sources

Next, we included the marker items as additional latent variables in our PLS analysis model and compared the results between the original research model (without the marker variables) and the common method bias test model (with marker variables).

In the second step, we calculated a P value for the association of each marker with the phenotypic value for the F test with a full model (with marker effect) against a reduced model (without marker effect).

An expanded model with markers additional to AREG and EREG may be optimal.

Models with marker covariates centered (CC), marker covariates not centered with μ g in the model (CN μ g ), and marker covariates not centered without μ g (CN) in the model.

When the number of markers greatly exceeds the number of observations, this extra covariate may become unnecessary even when the marker effects have a non-null mean.> -wrap-foot>> -wrap-foot> Models with marker covariates centered (CC), marker covariates not centered with μ g in the model (CN μ g ), and marker covariates not centered without μ g (CN) in the model.

Another clear result emerging from these two data sets is that considering markers and pedigree together consistently increased the prediction ability of all models, as compared with models with markers only or pedigree only.

Therefore, we also made the comparisons of QTL model RMIP profile similarity between joint-family models with markers selected at P=0.01 and single-family models with markers selected at P=0.0001, similar to the Bonferroni-corrected type I error rate of P=0.01/25.

This approach was first used with sparse marker data in quantitative trait loci (QTL) analysis (QTL×E Moreau et al. 2004) and also in multilocus models with markers that exhibited "significant" association with the trait of interest (Boer et al. 2007).

In this case, the model with centered marker covariates had a higher accuracy.

An additional custom file was generated for a tetraploid model with five marker classes for each SNP accounting for dosage (AAAA, AAAB, AABB, ABBB, and BBBB) based on theta values.

The Proc Mixed model was then used to reanalyze the markers using the same model structure, with markers that were clustered into a certain location combined as a unified representation.