Sentence examples for a mixture of clusters from inspiring English sources

This molecular linking approach is still frequently used, even though the final product is a mixture of clusters with different numbers of particles.

These included: roughly similar ranges in individual cluster lengths; a mixture of clusters with piRNAs mapping almost exclusively to one strand and clusters with piRNAs mapping to both strands; and similarities in the relative orientation of piRNA, transposon, and transcription orientation for at lease some clusters.

As the thalamus is comprised of a mixture of clusters of grey matter nuclei separated by medullary laminae of myelinated fibres, as well as larger tracts of white matter bundles, it seems plausible to assume that permeability as measured by DCE-MRI may primarily reflect the neuroinflammatory processes, which appears to be most prominent in the myelinated areas of the brain.

In MCLUST the observed data are viewed as a mixture of several clusters and each cluster comes from a unique probability density function.

Assume that the regions of interest are from a mixture of K clusters.

The whole data set is assumed to be a mixture of K clusters.

Based on previous reports for each of these enzymes [31], [32] as well as other [FeFe] hydrogenases [33], these spectra also indicate that the as-isolated hydrogenases have a mixture of H-clusters in both the oxidized (Hox) and reduced (Hred) states.

As it was not possible, for logistic reasons, to include children from across the whole of Shanghai we used a mixture of stratified cluster, random sampling and stratification, to identify children from nursery, primary and secondary schools from 12 of Shanghai's 19 administrative districts.

Most populations consisted of a mixture of the three clusters, while a number of small populations (N = 118 300) showed distinct genetic clustering with low levels of admixture (e.g. CF, MA).

For each genotype, 100 berries were randomly taken from a mixture of 2 3 representative clusters and weighted (berry weight, BW); mean berry weight (MBW) was then calculated.

We then used PCA to project the features to the first seven principal components, and modelled the wild-types in the 7D space (the first seven principal components account for about 95% of the variance) using a mixture of Gaussian distributions clustering algorithm fit with EM.