Sentence examples for variability of clusters from inspiring English sources

Exact(1)

To answer this question, we shall quantify the variability of clusters for subsets, relate it to the result for the whole trajectory, and derive a "stiff kernel," that is, those atoms which do not (or very rarely) change clusters between subsets of the trajectory.

Similar(58)

The ICC-adjusted test statistic is generally recommended to effectively control the nominal level when there is constant or small variability of cluster sizes.

Here, we introduce the term "chromothripsis-like patterns" (CTLP) when referring to clustered genomic events, to accommodate both common labelling and presumed biological variability of clustered genomic copy number aberrations.

All statistical analyses were conducted using STATA/MP V.12.1 (StataCorp, College Station, Texas, USA) and multilevel models were fitted using STATA survey commands to adjust for the variability of clustering.

Of note that (at least) two sources of variability of cluster memberships need to be scrutinized as follows: variability due to the stochastic nature of the Monte Carlo clustering method and variability due to different parts of an MD trajectory being clustered.

That is, in case the same set of axes are relevant to the explanation of the variability of all clusters (high within-axes heterogeneity), non-centered PCA results in a single generic component [43].

p. 685, 2001), based on the memorization and recursive update of a small number of summary statistics, but they either don't take into account the specific variability of the clusters, or assume that the random vectors which are processed and grouped have uncorrelated components.

The variability of these clusters may well be the reason why, in some cases, it has been difficult to identify specific resistance genes in these regions.

We cannot distinguish from our data whether the high variability of these clusters is due to their location in telomeric regions, which are regions of generally high variability at many levels, including sequence and expression variation, or whether there is any selective advantage for high diversity among this particular class of piRNAs.

Indeed, the K-means cluster analysis is exploratory in nature, and the scale and variability of the clustering variables may affect results in unstandardised analyses [ 74].

All these results are in agreement with the reported interindividual variability of DEF cluster b genes [ 20].

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