Sentence examples for strong cutoff from inspiring English sources

With a 1.5 fold-change cutoff and a relatively strong cutoff for false discovery rate (FDR) of p < 0.0005, the RpoN+ strain was found to have 138 genes with increased transcript levels and 59 genes with decreased transcript levels when compared to the WTV strain.

With a relatively strong cutoff for false discovery rate of p < 0.0005, the majority (~85%) of differentially expressed genes had fold changes between 1.50 and 2. When the results from the computational prediction are compared with the results from the transcriptome analysis, the use of an arbitrary cutoff level may not be able to detect all RpoN-regulated genes in the RpoN over-expressing strain.

As a result of considering only follower relationships among politically-active users we observe strong cutoffs in both distributions that make curve-fitting unreliable.

The distribution has a strong exponential cutoff.

Short cutoffs favor strong interactions such as hydrogen bonds, while longer cutoffs will begin to capture non-specific hydrophobic interactions.

The motif score for which the probability of any stronger motif occurring by random chance would be less than 0.01, was selected as the cutoff for strong motifs (For p63 - cutoff score of 7.14).

All recorded data were examined and subsequently presented as weak, medium or strong after establishing logical cutoff points for each category.

Because we chose genes to reject, we did not adjust for multiple comparisons because that would introduce more type I errors while reducing type II errors; our goal is to screen out genes with strong variation and the cutoff is itself arbitrary, making such an adjustment unnecessary.

Overall, we concluded that, despite of some countries failing to meet the cutoff criteria for strong MI, the assumption of strong MI across age groups holds for most countries included in the analyses.

In a meta-regression analysis on the overall set of studies, the association between hyperoxia and worse outcome appeared to become stronger when the PaO2 cutoff value used for defining exposure increased (data shown in Additional file 5).

The stringent-cutoff dataset contains only interactions having strong experimental support, while lenient-cutoff dataset includes interaction supported by weaker evidences.