Sentence examples for matrix of genotypes from inspiring English sources

GENB helps specify the vector of random effects of genotyped lines with a length that matches the dimension of the covariance matrix of genotypes.

The matrix of genotypes' BLUEs, computed as described above, can be downloaded from http://dfrc.wisc.edu/sniper/.

The solution of the projection matrix T is the first d eigenvectors of the covariance matrix of genotypes, XXt.

DISTLM forward was used for modeling the relationship between a resemblance matrix (i.e., a Euclidean distance matrix of genotypes for a particular SNP locus) and multiple predictor variables.

To account for all three sources of genotype miscalling, we developed a likelihood model and utilized a parcimony algorithm to search for the matrix of genotypes with the highest likelihood at every given AFLP locus.

To test this expectation, we re-calculated the true heritability assuming that the genotypes are uncorrelated for each of the four scenarios by setting all the covariances in the variance-covariance matrix of genotypes to zero.

Let X = [ X 1, X 2 ⋯ X m ] be a n × m matrix of genotype.

We used a scaled matrix of genotype frequencies for wild mosquito samples for a PCA as implemented in the python package scikit-learn (Pedregosa and Varoquaux 2011).

Let X denote the n × p matrix of genotype data for a homogeneous population, where n is the number of individuals involved in the study, and p is the number of markers genotyped for each individual.

The model to estimated effects of the SNPs selected from the first step can be expressed as: (2) y = 1 μ + Xβ + Zg + e where X is the matrix of genotype covariables of the 500 SNPs, and β is the vector of SNP effects.

Matrix G was created as in VanRaden [ 13]: G = 0.9 5 * z z ' 2 ∑ i p i q i + 0.05 I, Where Z is a centered incidence matrix of genotype covariates (0/1/2); 2 ∑ pi qi is a scaling parameter in which pi and qi are the allelic frequencies for SNP i (i = 1: 43852), which were computed across breeds; I is an identity matrix (included in order to make G invertible).