Sentence examples for marker effects were from inspiring English sources

Permutated marker effects were obtained from the posterior means of a 250,000 iteration chain.

The marker effects were estimated by fitting linear, additive models to the response variables.

Family main effects were always included and marker effects were nested in families.

Assuming a completely additive model, marker effects were summed across the entire genome for each animal to obtain the DGV.

Most marker effects were shrunken to zero, and only a subset of markers had remarkably high effect estimates.

The marker effects were estimated using the BL described in [ 24], as implemented in the BLR package of R [ 25].

An alternative to estimating GEBVs by summing up all the marker effects, is to estimate GEBVs directly within the framework of mixed model equations (MME).

In the BRR, marker effects are IID normal random variables.

The marker effects are obtained by solving the optimization problem, where is a regularization parameter.

Furthermore, when π is close to 1, the sampled value for most marker effects is null.

In multilevel models, specific marker effects are estimated for each population.