Sentence examples for integrated datasets and from inspiring English sources

Further, by making these resources available via the web we have the opportunity to use some platforms for scaling up via integrated datasets and using the platform itself for digital storytelling and as a complement to written scholarship.

Summary: OmicsAnalyzer is a Cytoscape plug-in for visual omics-based network analysis that (i) integrates hetero-omics data for one or more species; (ii) performs statistical tests on the integrated datasets; and (iii) visualizes results in a network context.

Summary: The prioritization of candidate disease genes is often based on integrated datasets and their network representation with genes as nodes connected by edges for biological relationships.

In order to extract the modules (see Table 1 for the complete summary), we applied two different network clustering algorithms, C finder and MCODE, to all the disaggregated and the integrated datasets, and then compared the retrieved modules.

RDI wrote scripts to retrieve compare and integrate datasets and drafted the manuscript.

In this study, we propose a methodology for comparative analysis and ranking of diagnostic tests across population groups, by integrating datasets and imputing data using datasets from sample populations.

In fact, the biology underlying gene networks is so complex that any hope of deriving novel therapeutics may be entirely contingent on the extent to which scientists with diverse areas of expertise are willing to share and integrate datasets and make the process of interpretation a collaborative one.

To this point, it's largely been an article of faith that such rich integrated datasets would be useful and clinically important.

The CEINT NanoInformatics Knowledge Commons (NIKC) is a custom cyberinfrastructure consisting of a data repository and associated analytical tools developed to visualize and interrogate integrated datasets.

One of the major advantages of this service is the ability to query and analyze integrated datasets.

While current functionality may appear to an end-user not much different from a stand-alone prediction application like ToxTree, the back-end technology provides a very flexible means for integrating datasets, models and algorithms, developed by different software technologies and organisations and running at remote locations.