Sentence examples for identified spurious from inspiring English sources

Manual inspection readily identified spurious hits which are mainly resulted from repetitive sequences and are not identified by RepeatMasker, and poor hits (identical base pairs < 100) arising from lineage divergence.

Since only phenotypic strain typing was conducted (serogroup, serotype, and subtype) and not the more sensitive porA-genotyping method that would have identified spurious clusters, background rates of clustering may have been overestimated.

This automated method consists in identifying spurious tests and withdraw them from the final statistical analysis.

Most importantly, reverse labeling was successfully used to identify spurious values resulting from incorrect peptide identifications and poor peak fitting.

Members of Group 1 are first-tier intermediaries having more influence than those of Group 2. Investigators can identify spurious links through a non-Bayesian approach with a measurement model.

Link Prediction in such complex networks is regarded useful in almost all types of networks as it can be used to extract missing information, identify spurious interactions, and evaluate network evolving mechanisms.

For surface tension-dominated flows, the explicit capillary timestep restriction is relaxed through timescale-separated slope limiting that identifies spurious modes in curvature evolution and omits them from contributing to surface force computations, thus promoting efficiency in simulation through the use of less timesteps.

Over-fitted models, even though they tend to identify spurious effects are often better in predictions than under-fitted models [24].

A different method of identifying spurious correlations would be to analyse partial correlation coefficients in the data, i.e. the correlation seen after removing effects from other genes, as opposed to zero-order coefficients such as Pearson, which consider the correlation in isolation.

In this context, the phylogenetic method was used to discern the potential origin of the mtDNA sequence anomalies rather than to identify spurious genetic alterations in our single-cell analysis; the phylogeographic information thus provides an explanation for some of the observed sequence anomalies.

We identified potential sources of heterogeneity prior to conducting meta-regression to reduce the likelihood of identifying spurious associations.