Sentence examples for failed in identifying from inspiring English sources

They reported a decreased IFN type I-induced response and a benign transcriptional response at the time of cardiovascular decompensation [27], [28], but failed in identifying biological pathways relevant to DSS pathophysiology and particularly inflammatory ones that could sustain microvascular dysfunction [28].

We failed in identifying any other significant genotype phenotype correlation.

Consistent with these observations, our mutational screening on a clinically well-characterized CFCS cohort failed in identifying any SOS1 mutation, confirming a previous survey indicating that SOS1 does not represent a major gene for this disorder [Zenker et al. 2007a].

Also most other randomized controlled trials in this field failed in identifying any differences in such outcomes, and most including our study were inadequately powered to address these issues [ 38, 41- 43, 50, 51].

The difficulties encountered in the identification of these bacteria were previously reported by Almuzara et al [ 18] who noted that the identification by the API Coryne bacterium System is limited and by Stanley et al [ 19] who failed in identifying them with GenoType.

Therefore, they cannot take into account the common information shared across different data platforms and may fail in identifying driver genes that lead to the change of network.

Signature-based techniques, which exploit a prior knowledge base of anomalous patterns, are able to effectively detect them but fail in identifying anomalies which did not occur previously.

Due to that approach the existing reviews nearly or completely fail in identifying and analysing the potential uniqueness of bio-based raw materials to implement new or better functions to polymeric coatings.

Current standard experimental methodologies in hydro-acoustics rely on far-field measurements that enable the characterization of the spectral properties and the determination of the sound pressure level with good precision but fail in identifying accurately the flow phenomena at the origin of sound generation and radiation.

Inclusion of covariates with P-values <0.05 in regression-based predictive modeling can fail in identifying variables known to be important (Mickey & Greenland, 1989).

The use of univariate P values <0.25 has advantage of tending to include more variables in multivariate analysis while traditional levels of P value such as 0.05 can fail in identifying variables known to be important [ 24].