Sentence examples for clustering to enable from inspiring English sources

In such a case, there is need to identify the determinants of such clustering, to enable local health personnel to identify them and to develop specific strategies targeted at these clusters, of which this paper is an important first step.

Moreover the lack of tight clustering suggests that we are not witnessing clustering to enable co-regulation (by ensuring that genes are co-localised in the same chromatin block).

The Greengenes database was used and the filtered rRNA gene sequences were clustered to enable selection of perfectly complementary probes representing each sequence of a cluster.

As well as an InterPro entry structure, we assigned individual InterPro entries and Funcat and Protfun categories for clusters to enable analysis of sets of clusters.

Intensity function; spatial scan statistics; diabetes; delineation of spatial clusters To enable prediction of clinical alerts via joint monitoring of multiple vital signs, while enabling timely adaptation of the model to particulars of a given patient.

In cases where the target strains of a species are too diverse to be detected by a single signature that hits all target strains, the MSC software groups the targets into genetic clusters to enable signature generation per group.

HDFS can create multiple replicas of data blocks and distributes them on datanodes usually in the same rack as the source datanode throughout a cluster to enable reliable, extremely rapid computations.

The sheet provided information on the product name and year of each cluster to enable identification of the cluster reports from the NC's database, but it did not include the VigiBase report IDs, so as not to limit the assessment to reports available in VigiBase.

Although the precise function of the bouquet is debated, it is thought to somehow optimize homolog interactions during meiotic recombination, perhaps by clustering centromeres to enable synapsis initiation (Subramanian and Hochwagen 2011).

Also, the sheer number of measurements contained in each transcriptomic experiment enables data clustering to yield stronger results.

Post-hoc analyses were conducted by one-way analyses of variance (ANOVAs) and chi-squared tests on the seven-cluster solution to enable further interpretation of the cluster solutions, but not specifically for inferential purposes, as recommended by [ 21].