Sentence examples for prior classification from inspiring English sources

We calculated the average value for the ratio between the width of the intima (Th-int) and the radius to the Lamina Elastica Interna (r-IEL) for each of the 32 radii of a given vessel (as a %) and compared the values to the results of prior classification.

The system can select the relevant genes and transcripts for the prior classification of pathologies.

The FSL FAST (Zhang et al., 2001) procedure was used to segment the T1W scans without prior classification volumes.

However, the assignment of populations to ethnic groups is prespecified by this prior classification, and cannot borrow from the observed allelic effect estimates to inform clustering.

This comparative result further confirmed that our pathway-based classification of HCC prognosis is compatible with prior classification systems using survival- and recurrence-associated genes.

Inclusion criteria were that the child must have been in middle or high school and had prior classification of LD as demonstrated by school Individual Education Plan or previous psychological reports.

Nevertheless, there were some differences from prior classifications [ 16- 18].

Any genome-wide measure of promoter TF connectivity can be combined with prior classifications of genes such as those curated by the GO consortium (Ashburner et al., 2000) to detect functional bias (Bussemaker et al., 2007a).

Here, 3 types of β-turns appear to be distinguished according to prior classifications [ 44- 46] based on the "Phi" and "Psi" torsional angles of residues at positions "i+1" and "i+2" (using the Ramachandran plot, data not shown).

All recent studies [ 15, 19, 21] concur that the genus includes considerably fewer species than was previously accepted (< 25) and, unlike prior classifications, no New World species are currently placed in Arius.

For this analysis, we recategorised anaemia level as anaemic and non-anaemic from prior classifications in levels (no, mild, moderate, severe) because of very small numbers of cases in the categories of severe and mild anaemia in all datasets of pooled and individual surveys.