Sentence examples for matrices of trait from inspiring English sources

We assessed the divergence between the matrices of trait (co variance at different periods of time and between treatments.

Therefore, after generation 4, changes in the matrix of trait (co variance essentially reflected changes in the G-matrix.

The principal component analysis matrix of trait loading (Table 1) shows how the original peaks contribute to each PC.

(B ) A matrix of traits (rows) vs drivers (columns), where the blue/red scale indicates negative/positive Pearson correlation coefficients among them.

A matrix of traits (columns) vs driver transcripts (rows), where the blue/white scale indicates the significance of causative relationships among the trait, the driver, and a representative variant in the module's genomic interval (rs13475891 in chr1 62 Mbp).

Right: Matrix of traits (columns) vs driver transcripts (rows), where the blue/white scale indicates the significance of their causative relationships based on gene-expression data from the myeloid tissue.

Again, a matrix of traits based on the PAS questionnaire information linked with the SAIL data system will help profiling of AS patients for health and other related interventions.

This error term consists of a matrix of expected trait covariances calculated using the maximum likelihood estimate of lambda, a multiplier of the off-diagonal elements of a phylogenetic variance covariance matrix that best fits the data.

The likelihood that fishing will generate an evolutionary response depends primarily on the heritability and genetic variance/covariance matrix of the trait(s) under selection, the age-/size-specific magnitude of fishing mortality, and the age-/size-specific probability of being captured by fishing gear (Law 1991; Walsh et al. 2006).

Using this list of 70 medoid traits, we reduced our matrix of noise traits from 185 × 220 to 185 × 70 values.

The rates of genetic gain were determined using the prediction error variance covariance matrix of the traits included into the best linear prediction of breeding values.