Sentence examples for obvious partition from inspiring English sources

Bayesian analysis of population structure provided increasing model support as the number of populations (values of K) increased, but did not uncover a distinct modal value of ln P D); in addition, it was difficult to identify an objective "plateau" to the variation in lnP(D) against K and thus no obvious partition of the data was evident using the value of lnP(D) itself.

Considerable diversity is apparent among the Iranian isolates, and there is no obvious partitioning according to source (clinical or environmental) or type of infection.

Group 2 is dominated by P. sativum cultivars and contains the bulk of the wrinkled seeded types, with again no obvious partitioning by wrinkled phenotype between to the two Sub-Groups.

Sub-Group 1.1 contains a high proportion of large seed lines but there is little obvious partitioning of seed shape or size between the other Group 1 Sub-Groups.

Our dataset was too large to use in PartitionFinder [ 70], so we opted for several obvious partitioning schemes and used the most complex substitution model for each partition, as topological inference has been shown to be robust to model over-parameterization [ 71].

In Silhouette habitat segregation is considerable (with P. astriata reaching larger sizes than P. sundbergi and dominating nectiferous resources) while in Mahé species seem to co-exist without obvious resource partitioning, although some segregation is possible (P.

In addition, it is obvious that the partitions derived from the Z-axis provided better results than X- and Y-axes.

In contrast, there is no obvious correlation between Cl partition coefficients for pyroxenes and NBO/T (Figure 3B,D).

Overall, cysteine peptidase and N transporter sequences as identified in this study might be of high interest for applied research because of their obvious role in N partitioning for grain filling.

For the region with Age < 12, the best partition is less obvious - it turns out to be Triage ≥ 5.

However, PartitionView can be used to process the output from a Monte Carlo sampler for any probability distribution which has, as a marginal, a probability distribution on the space of partitions of a set (with the obvious proviso that observations of the set partition can be recovered from the output of the Monte carlo sampler).