Sentence examples for models including principal from inspiring English sources

We present a toolkit for this task and show how it can be used systematically to design fully distributed algorithms for static linear Gaussian models, including principal component analysis, factor analysis, and probabilistic principal component analysis.

All unified mixed linear models included principal components (Price et al. 2006) and a kinship matrix (Loiselle et al. 1995) that were calculated from a subset of 34,368 non-industry SNPs from the Illumina MaizeSNP50 BeadChip.

To control for population structure and familial relatedness, the mixed model included principal components (Price et al. 2006) and a kinship (co-ancestry) matrix (Ritland 1996).

To control for population structure and familial relatedness, the mixed model included principal components (Price et al. 2006) and a kinship (coancestry) matrix (Loiselle et al. 1995) that were calculated using the 34,368 nonindustry SNPs from the Illumina MaizeSNP50 BeadChip.

The method was tested on a simulated dataset, and a beef cattle dataset using a model that included principal components from a genomic correlation matrix derived from the allele frequencies estimated from the pooled samples.

Multiple imputations for missing data were performed with a model including all principal variables [ 18].

We used a standard linear mixed effects statistical model to develop a predictive model including the variables principal aquifer and land use.

The model included the principal effects (single feeds), double and multiple interaction (mixtures of two and three feeds).

This included Principal Component (PC) analysis and image classification.

All diagnoses include principal diagnosis and non-principal diagnoses.

All logistic regression models included as covariates the first three principal components (PCs) from a principal-component analysis (PCA) performed with Genome-wide Complex Trait Analysis (GCTA) v.1.24.4 [ 61] using a genetic relationship matrix (GRM).