Sentence examples for using a cutoff criterion from inspiring English sources
Using a cutoff criterion of 2.0-fold change and 95% confidence, we detected significant changes for 124 proteins, with 66 proteins being upregulated in the IrrE-expressing strain.
We used a change-in-estimate method to evaluate variables as confounders, using a cutoff criterion of 10% change in the ORs for asthma or wheeze (Greenland 1989).
Prior to simulations, we removed mitochondrial SNPs and monomorphic nuclear SNPs (using a cutoff criterion of >0.98 for the most common allele).
The tree was also annotated to indicate whenever a putative cellobiose dehydrogenase (AA3 family enzymes) was present in the host genome using a cutoff criterion of 35% identity to N. crassa CDH1.
At each elimination step, the relative influence of each remaining covariate on the model was reevaluated by removing it from the reduced model on an individual basis using a cutoff criterion at P ≤ 0.05.
All significant covariates from the univariate analysis, using a cutoff criterion at P ≤ 0.05, were added to form a "full" model after which a backward stepwise elimination was carried out.
Using the Peterson criteria for amnestic MCI, Luis et al. found that an MMSE cutoff ≤24 did not distinguish HCs from MCI; however, the MoCA, using a cutoff of ≤23, with 96%% sensitivity and 95%% specificity, did [ 12].
Sequences were searched against the UniRef100 database (Release 12.0) using BLASTX with a cutoff criterion of E = 1e-5.
Using BLASTX with a cutoff criterion of E = 1e-5 againsthehe UniRef100 database, 8,618 (25.0%) of the P. ultimum hybrid sequences matched the UniRef database, of which 673 (2.0%) did not also match a Phytophthora transcript or predicted protein.
Using TBLASTX with a cutoff criterion of E = 1e-10, 14,021 (40.6%) of the P. ultimum hybrid sequences matched a sequence within the three Phytophthora transcriptomes with only 945 (2.7%) of the P. ultimum sequences that align with a predicted Phytophthora protein not matching a Phytophthora transcript.
To determine the extent to which these cognitive domains were represented independently of each other in this cohort, and to counter the risk of false-positive errors resulting from multiple comparisons, we carried out a principal component analysis (PCA) on the standardized scores of WISC, WIAT, and CMS indices, using eigenvalues >1 as a cutoff criterion and Varimax rotation.
