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An assay hierarchy was designed to enable the classification of chemicals within this dataset as either sensitisers or non-sensitisers where data from more than one in vivo test was available.
We did so to enable our extended taxonomy to classify culture and software process related factors on a finer grained level, which we believe would enhance its usefulness and enable the classification of a wider range of GSE contexts.
The particular aim of this work is to enable the classification of the on-road obstacles according to their relative velocities, onto the categories of incoming, outgoing, and stationary, as a prerequisite for their avoidance in the context of autonomously guided cars.
Accordingly, the aim of this study was to develop a tissue characterization mapping (TCM) technique by combining the established LGE method with our novel percent edema mapping (PEM) method to enable the classification of tissue in the different MRI voxels as healthy, edematous, necrotic, hemorrhagic, or scarred using a canine model of reperfused MI.
Our aim was to develop a tissue characterization mapping (TCM) technique by combining late gadolinium enhancement (LGE) with our novel percent edema mapping (PEM) approach to enable the classification of tissue represented by MRI voxels as healthy, myocardial edema (ME), necrosis, myocardial hemorrhage (MH), or scar.
Using cellular markers that enable the classification of B cells into distinct subsets, we analyzed B cells belonging to either the preimmune/natural effector compartment or the antigen-experienced T helper-dependent compartment.
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Detecting change within the trend and seasonal components of time series enables the classification of different types of changes.
This enables the classification of parameter space into regions where qualitatively different steady-state and dynamic phenomena are observed.
Over the last four decades, advances in remote sensing technology have enabled the classification of tree species from several sensor types.
Pathogenic status of each variant was classified using "American College of Medical Genetics and Genomics" guidelines criteria, thus enabling the classification of 96% of the variants identified as being pathogenic.
This has made it possible to ascertain the diversity of elements composing the heritage of historic roads and enables the classification of the same.
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