Sentence examples for binary criterion from inspiring English sources

GO term comparison is a yes-or-no binary criterion in this study even though two different GO terms may share functional similarity.

Nevertheless, the mean value of success rates calculated with the binary criterion strongly correlates with that of the similarity scores in large-scale calculations like those presented here.

Second, GX-FBA does not use a binary criterion for pattern maximization whereby the metabolic flux of reactions corresponding to highly expressed genes must exceed an arbitrarily chosen threshold value and that of lowly expressed genes should be zero [ 31].

For example, we have used an unspecific and broad binary criterion to classify studies based on presence/absence of statistical adjustment of OR for any relevant confounders in our analysis (Table  5).

Under EC Regulation No. 1107/2009, binary criteria are used to categorize substances by comparing the properties of the compound to simple threshold or trigger values.

We aimed to examine the impact of the presence of baseline cardiovascular disease and proteinuria, as binary criteria, on cardiovascular event rates in diabetes trials and to examine whether predicted primary end-point event rates are achieved.

The evaluation criteria mentioned above is a yes-or-no binary criteria.

We then summarised study validity by using the five binary criteria that most usefully discriminated between studies (randomisation, representativeness, comparability, measurement, and use of statistical test).

An investigator, blinded with regard to the patients' diagnoses, analyzed the drawings according to a set of numeric or binary criteria.

This scenario was chosen as being typical of the problems we were encountering in the local consultancy and not dissimilar to published studies citing minimisation criteria which commonly have several binary criteria and one or more multiple category confounders [ 4, 6].

Binary criteria assessing HbA1c at 12 months (HbA1c level <7.5%), changes in HbA1c at the end of follow-up (a relative decrease >10% between baseline and 12 months), and severe hypoglycemia episodes during follow-up were compared between groups using logistic regression with adjustment of two covariates (baseline values and age).