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More generally, the objective was to estimate the usefulness of SNP markers developed using KASPar technology, which were selected from a limited intrageneric discovery panel, for broader diversity analysis at the intra- and intergeneric levels.
Recently, however, the development of the mammalian and human phenotype ontologies (Robinson et al., 2008; Smith and Eppig, 2009) – which describe phenotypes associated with mouse mutants or human diseases – has allowed us to quantitatively estimate the usefulness of different types of mouse phenotype data in discovering candidates for human diseases.
We used shadow prices to estimate the usefulness of a metabolite in increasing the amount of biomass produced.
We performed a questionnaire survey, inquiring CPOE-using physicians from four hospitals in four European countries to estimate the usefulness of 20 possible context factors.
To estimate the usefulness of hysteroscopy in the diagnosis and treatment of postcesarean scar defect.
We derive a feature evaluation criterion, named gSide, to estimate the usefulness of subgraph patterns based upon side views.
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Neural networks allow an alternative approach to estimating the usefulness of clinical and genetic variables in predicting incident glaucoma.
The purpose of our study was to evaluate contrast sensitivity in patients with multiple sclerosis who had also suffered from optic neuritis, as well as to estimate the clinical usefulness of the Functional Vision Analyzer™ in the diagnostics of these patients.
To estimate the clinical usefulness of these parameters and to compare sensitivities and specificities, ROC curves using these 6 predictors were calculated.
Strictly speaking however, a true estimate of the usefulness of these indices would require a prospective clinical trial comparing randomly selected with index selected chemotherapy regimens.
Unfortunately, because of the very low levels of SERBINB2 mRNA in maternal plasma, the samples had to be pooled, thereby making a precise estimate of the usefulness of this approach difficult.
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