Sentence examples for groupings with high from inspiring English sources

We identified six major phylogenetic groupings with high bootstrap support and significant posterior probabilities.

Our analysis and discussion of regional lineages therefore focuses on groupings with high statistical support and/or lineages that were specifically defined in previous studies.

Our finding that the latter scenario was much more common than the former (Fig. 3) does not appear to be an artifact of model over-fitting that would be able to distinguish any groupings with high power, because re-analysis with randomized prior groupings resulted in maximum individual membership probabilities of only 0.3 0.5 for the vast majority of individuals (Fig. S6).

Similar gene groups also split MPNST into 2 tumour groupings while liposarcomas were divided into three groups with high group 1 expression (A), low group 1 expression (B) and low expression of both groups (C) (data not shown).

Negative binomial regression models were used to investigate Rate Ratios (RRs) in suicide by the ANZSCO major groupings, with the highest class group (Managers) as the reference.

Because the signal from codes used less often might be lost when combined with more frequently used codes, we created 2 new groupings, 1 with high-volume codes (ILI-large) and 1 with low-volume codes (ILI-small).

The ML tree with the extended datasets reconstructed from a majority of data sets (around 76 out of 109) supports the groupings of Roseobacter with high BP values 80 100% (see File S2).

Directionality of effect did not correlate with study quality; however, studies showing a decreased effect after multivariate analysis were of superior quality compared with other study groupings (14/17 high quality, 82%).

The classical grouping-based object proposal approach can produce region proposals with high localization accuracy, but incorporates significant redundancy for the lack of object confidence to evaluate the proposals.

The DNA sequence data showed virtually no homoplasy, but the opposite was true for spoligotyping and MIRU-VNTR, which was consistent with high rates of convergent evolution and the low statistical support obtained for phylogenetic groupings defined by these markers.

For predictions with high confidence scores (thresholds > 0.95), Pfam (native) and DFX families i.e. broader groupings of protein sequences can predict functions with higher precision than CDD and FunFHMMer.