Sentence examples for stringent positive from inspiring English sources

Exact(3)

Even when applying a less stringent positive expression criterion (TPM ≥ 1), only 28.0% of rice genes expressed positive, providing compelling support for our method as also demonstrated with the previously determined p values for the enrichment of experimentally confirmed expression in our predicted gene set.

A filtering protocol was then applied for subsequent stringent positive identification of proteins, with only those proteins identified by two or more unique peptides taken forward for further analysis.

Our counter-selection approach [ 5] utilizes a dicistronic counter-selection cassette (the RT-cassette), containing the respective positive and negative markers tetA(C) and rpsL driven by the hypo-osmotically up-regulated ompF promoter to provide stringent positive and negative selection for single-copy vectors [ 13].

Similar(57)

We have chosen rather stringent TST positive criteria, so that it is unlikely that the TST+ subjects were false positives because of NTM infection, although occasional mis-diagnosis of TST positivity due to NTM infection can obviously not formally be excluded.

Even with such stringent thresholds, positive findings are routinely replicated in independent datasets to confirm or refute association.

Even with a more stringent false positive rate (2%), a significant fraction (228 out of 350 residues, ∼65%) is predicted to be disordered.

Agreement between OIC-HIV and WB was 99.1% (95%CI 96.9 99.9%) with no false OIC-HIV positives if stringent criteria for positive OIC-HIV diagnoses were used.

The proposed method can achieve a prediction accuracy of 98.28% and 97.87% on a stringent Gram-positive (Gpos) and Gram-negative (Gneg) dataset with Jackknife test, respectively.

Even with the stringent false-positive collar of 0.0004, under the most pessimistic variance scenario, the estimated sample size needed for each group was 42.

Estimates of the sample size needed to detect a 2-fold difference in mean group (i.e. asthmatics versus non-asthmatics) expression with 80% power and a stringent false-positive (alpha) rate of 1/2500 were performed.

Because we chose to employ a stringent criteria for positive selection, we did not identify genes exhibiting strong signals of positive selection, instead, we were able to identify genes and annotation types with different levels of selection pressure acting on them.

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