Sentence examples for matrix of deviations from inspiring English sources

If we assume that A is an unbiased estimate of G, and write G =  A +  D[ 28], where D is a matrix of deviations from pedigree relationships due to the segregation of a finite number of chromosome segments in the genome, the genetic variance of the records becomes V(g) =  Gσ u  +  Aσ a  =  A(σ u  + σ a ) +  Dσ u.

Simple models suggested include proportionality of matrices, i.e. Σ ii = f i Σ11 (for i > 1) with f i the scale factor for group i, and the same correlation structure but different variances in different groups, i.e. Σ ii = S i RS i with S i the diagonal matrix of standard deviations for the i-th group and R the common correlation matrix [ 36].

First, we use the monthly-averaged TEC over the world to calculate the deviation of the TEC and then the spatial correlation coefficient matrix of the deviation is also derived.

Specifically, we apply a matrix of means and standard deviations from the complete Iceland data.

Model enables to trace the history of deviations from the Local Equilibrium condition in both matrix phases and enables to predict the redistribution of precipitates in both matrix phases.

The results are illustrated in Figure 3, which is a matrix

In particular, Pinna et al. propose the calculation of several matrices to evaluate the differences between observational and intervention expression values: a simple deviation matrix, a standardized deviation matrix, and a z-score deviation matrix.

Amino acid frequencies were calculated using the aaML package (aadist = 'equal', with the jones.dat matrix) and standard deviations of frequencies were obtained from 100 rearrangements (bootstrap) of the dataset.

We started with a matrix of expression values (median-centered log-intensity values divided by standard deviation) for the 156 samples (Figure 2A).

The program also estimated mean, median, and standard deviations of each pharmacokinetic parameter, as well as the covariance matrix of the model parameters.

Each data matrix of the 2,555 genes was then normalized by median centering and dividing by the standard deviation for each gene.