Sentence examples for matrix of shared from inspiring English sources
It comprises a three-tiered matrix of shared knowledge, linguistic knowledge, interaction skills, and cultural knowledge (Saville-Troike, 2003) needed for effective communication.
Comparative statistical analysis was performed using Continuous 1.0d13 [48], [49], which applies a generalized least squares (GLS) model to account for the shared phylogenetic history —phylogenetic covariance between trait values of different species based on a matrix of shared evolutionary distances among species.
In this, so far the most extensive study, the Malin software package [ 138] was used to infer ancestral states from a matrix of shared introns which comprised 8403 intron presence-absence profiles from 245 sets of orthologous genes.
Two reticulate networks were designed by using the program SplitsTree: the first was based on incongruences of 2,337 individual core COG alignments; and the second was based on the matrix of shared 1,563 COGs of horizontally transferred genes.
Here we focus at the manually vectorized assembly of the local element contributions and the parallel assembly of the global matrices on shared memory systems.
Then, an alternative similarity matrix in terms of shared nearest neighbors is constructed from the correlation matrix.
The constructed similarity matrix in terms of shared nearest neighbors (SNN) is shown in Fig. 1 b, where the divergences of similarities in different classes have been significantly reduced.
Using 45 NR-correlated gene lists comprised of 86 4580 genes, we investigated how many genes in each NR-correlated gene lists were shared in other NR-correlated gene lists, and then we generated the matrix of the shared gene number of each NR across all NRs.
They include transformation of a Saaty matrix to matrix of shares of preferences and solving an eigenproblem designed for the transformed matrices.
a Correlation matrix ρ. b Similarity matrix W in terms of shared κ-nearest neighbor (κ=15).
Because r g is the MLE of ρ g, the large sample distribution of r g follows a normal distribution with its covariance matrix computed from angles of shared orthologs.
