Sentence examples for using the variance component from inspiring English sources

The analysis was conducted using the variance component analysis procedure, Residual Maximum Likelihood (REML) option, in Genstat [16].

We performed duplicate linkage analyses using the variance component model (VCM) using SOLAR program [23] (see Materials and Methods), because of the robustness of this method in such a complex setting [24], and a regression linkage method using MERLIN program [25] (Regress, see Materials and Methods), which yielded overall comparable results.

The broad sense heritability (H) was calculated using the variance component method.

We then sought to determine the amount of variation for each landmark using the variance component method.

Then, the frailties associated with these two traits were calculated for the offspring population, using the variance component models defined in Equations 2 and 3.

In a simulation study different designs for a pure line pig population were compared for efficiency of mapping QTL using the variance component method.

Heritability estimates of PCs and FACs were calculated using the variance components approach.

Using the variance components estimated with the linear mixed effect models, we determined the correlation coefficient among expression measures within a subject over time for each of the 17,329 probe sets satisfying the Shapiro test (see Methods).

In the Framingham Heart Study and the Family Heart Study, the heritability of macronutrient adjusted for age and sex was estimated by using the variance components method in Sequential Oligogenic Linkage Analysis Routines (SOLAR Texas Biomedical Research Institutee).

Heritability (h) was estimated by using the variance components given by the linear mixed model as: h = VA / VP, where VA represents the additive genetic variance, and VP the total phenotypic variance (VP = VA + VT + VR, with VA = additive genetic variance, i.e. associated to 'origin', VT = environmental variance explained by 'triplets' and VR = residual error).

Using the variance components estimated with the linear mixed-effect model built for each of the 17, 329 probe sets, we determined for each probe set p the intraclass correlation coefficient among expression measures within a subject over time by calculating the term, with the variance computed between subjects, and the within-subject variance.