We study a single-commodity Robust Network Design problem (RND) in which an undirected graph with edge costs is given together with a discrete set of balance matrices, representing different supply/demand scenarios.
The same phylogenetic tree was used to simulate nucleotide sequence matrices representing different partitions within a replicate, but different tree topologies were used for each replicate.
Consistent with these two matrices representing different periods and sources of exposure, we observed modest correlations between bone and blood Pb concentrations.
RepeatMasker currently uses a variant of RepBase [ 14], a library of consensus sequences (representing the ancestral sequences of each transposon family), and an assortment of (non-position-specific) score matrices representing different transposon ages and target sequence isochores.
Different regions of the criticality matrix represent different levels of criticality for rolling stock components.
Different cells within this matrix represent different volumes of ocean.
LIMMA requires a design matrix representing different RNA targets, as well as a contrast matrix assigning the coefficients of the design matrix to the contrasts of interest (i.e., expression over time, disease status, and/or treatment).
These three Gram-like matrices,,, represent similarities between different subjects, different poses, and different lighting conditions, respectively.
In the interaction matrix I, different parameter settings of a, b, c, and d represent different interaction strengths among cells.
