Sentence examples for clustering enables a from inspiring English sources

While hierarchical clustering enables a fast and simplistic analysis of the experimental data sets, it does not provide information on which subsets of TFs are co-regulated across subsets of conditions.

The classification procedure used here, namely hierarchical clustering, enabled a physically meaningful categorization of structural states in a number of cases, both for simulated and experimental data.

Correlation coefficients and clustering enable a visualization and assessment of the experiment structure based on global expression behavior.

In composite, knowledge of the apratoxin gene cluster enables a detailed exploration of several new features of NRPS and PKS biochemistry as well as expands the range of structures and structural features accessed by these modular biosynthetic pathways.

Such an ideal feature synthesis operation (for the purpose of clustering) is demonstrated in Figure 2, where two-dimensional features of a 3-class dataset are successfully synthesized into clearly distinct clusters, enabling a much easier classification and/or retrieval task compared to the original feature distribution.

Probesets are further grouped into transcript clusters enabling a gene-level estimate to be computed by summarizing data from all probes within the transcript cluster.

The 'greedy' algorithm was modified to specifically identify transitively similar sequences between clusters, enabling a unique ability to identify "bridge" sequences which satisfy participation criteria in multiple clusters or protein families.

Structural studies reveal that the fold of these two enzymes is remarkably similar, with equivalent positioning of the [Fe-S] clusters enabling a similar mechanism of ATP-driven electron transfer from the reductase protein, to the catalytic component.

The GO mapping of the Tortula clusters enabled a broad look at what cellular activities appear to be emphasized in the rehydrated gametophytes and in agreement with our previous biochemical analyses highlighted the prominence of the protein synthetic machinery, both in structure and control, membrane structure and metabolism, and the need to reestablish plastid integrity.

Such a clustering enables classification of prokaryotic Ser/Thr kinases and it can be used as a framework to classify newly identified prokaryotic Ser/Thr kinases.

Using statistical modeling for clustering enables the determination of an optimal set of clusters through model selection.