Sentence examples for several data integration from inspiring English sources

At the same time, the field of metabolic modeling is now approaching the level of maturity necessary for several data integration methods to be used together as components in integrated model reconstruction and refinement strategies.

In recent years, several data integration and search platforms for the biological domain were presented, such as linked life data (LLD) (http://linkedlifedata.com), Bioportal [ 42], NCBI (http://www.ncbi.nlm.nih.gov/), and Bio2RDF [ 43].

This procedure involved several data integration and search steps for extracting CePINs from HPRD PIN (or called "static" PIN as opposed to condition-specific CePIN), as outlined in Figure 8. Correlation of gene expression profiles between each pair of interacting proteins in PIN is evaluated by Pearson correlation coefficient (PCC).

Generally, various data integration methods can be divided into two categories: (1) by using a mixed network and (2) by using several separated networks.

Another important aspect is that several approaches of data integration are based on the correlation measure between expression profiles of gene pairs in biological data (like protein-protein networks) as in [ 20].

Although several works in data integration have increased the performance of the network inference methods, the real contribution of adding each type of biological information in the obtained improvement is not clear.

For land-atmosphere CO2 fluxes, several model-data integration and model-model intercomparision projects have been or are being conducted for the North America, for example, the NACP and Multi-scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP) (Huntzinger et al. 2013).

The semantic web technology provides several unique benefits for data integration and knowledge inferences.

The life-science domain has been discussing the merits of data integration for several years.

Existing communication and integration standards, tools and platforms for buildings and power systems still show several limitations in terms of data integration and correlation, applicability and vendor independence.

In many cases, data integration requires several iterations of refining the local-to-global database mapping rules before a stable set of rules can be obtained.