In this work we investigate aspects of an optimal parallel version of the 2D MPDATA algorithm on modern hybrid architectures with GPU accelerators, where computations are distributed across both GPU and CPU components.
The improvement was different across both current components.
We show that other known methods perform far worse and have much more variability in their accuracy, both across anatomical components and between their sensitivity (i.e. the ability to correctly classify images that contain gene expression) and specificity (i.e. the ability to correctly classify images that do not contain gene expression).
Variance estimates included both a within-imputation and an across-imputation component.
The proposed model is equivalent across experiments, although different gene variances across experiments, and across components within experiment, are allowed.
With respect to the line-of-sight (LOS), the translational motion may further be decomposed into a radial (along-LOS) component and a tangential (across-LOS) component.
Partitioning genomic prediction algorithms into a within-breed component and an across-breed component may allow for these within-breed effects to be captured.
As observed in Table 3, while the first trust components are statistically equivalent across both groups, the fourth component of trust distrust shows significantly (p=0.028) higher levels of distrust among African-American patients.
This tool can search for database entries or genes across multiple anatomical components, across a range of developmental stages and with particular patterns and locations of expression.
Most frequently reported reasons for not having implemented components across both studies are indicated in Table 3.
For longitudinal studies of gait in STR/Ort and CBA mice (study 4), principal components analysis (PCA), a dimension reduction technique, was used to summarize 41 correlated measurements into a few uncorrelated principal components across both strains.
