Sentence examples for matrices that assign from inspiring English sources

The Z D, Z S, and V are the known design matrices that assign observations to the levels of the direct genetic effects of the animals themselves, to the IGE of their group mates, and to the random group effects, respectively.

Briefly, the algorithm determines the matrix by minimizing the difference between measured and predicted affinities, while preferring matrices that assign similar scores to amino acids known to have similar binding characteristics (see Material & Methods).

The Z is an incidence matrix that assigns the animal's effects to the vector of observations.

The relationships between distinct sequence subgroups within a protein class are specified using a hyperpartition, which consists of a N × M matrix that assigns N sequence subgroups to the foreground, background or non-participating-sequence partitions for each of the M functionally-divergent categories to be modeled.

A total of 82 TFs were assigned to corresponding motif matrices that fulfilled the above five conditions.

The reader can find here a list of full-diversity parity-check matrices, that is, matrices where all information bits are assigned to a rootcheck in the last two set of rows and.

For instance, Kucera (2007) obtains indexes of trade union rights' violations after having created a matrix that assigns different weights to each type of violation that is reported in international data sources (e.g. the murder or disappearance of union members is assigned the highest weight).

These models used an adjacency matrix that assigned counties a value of 0 or 1 to indicate adjacency.

Fires in our simulations were assigned a wildfire disturbance matrix that was pre-defined in CBM-CFS3 and is specific for the ecozones of Saskatchewan.

Character states are assigned to taxa in a character-by-taxon matrix that is analyzed with phylogenetic methods to infer hypotheses of evolutionary relationships.

Generating a random correlation matrix that is both realistic and contains strong correlations is a challenging problem as it is difficult to assign random correlation coefficients and make it a positive definite matrix.