Sentence examples for data analysis capacity from inspiring English sources

Data analysis capacity can be increased by higher levels of automation.

Overall, this flexibility has resulted not only in expanded dissemination of findings but also in expanded analytic creativity and data analysis capacity, and use of data for local and national purposes.

The Basque framework for smart specialisation was accepted without any action plan by the European Commission, reflecting the tradition of policy planning in the regional government that builds on strong data analysis capacities and stakeholder networks.

A number of studies have identified constraints, and have recommended strengthening the SDMS through developing data collection and analysis capacity and information dissemination.

Through the workshops described above, the multi-centre project contributes to an increase in resident data management and analysis capacity.

A universal intellectual framework for microarray data analysis should have the capacity to compensate for differences in measurement related to the differences among platforms and/or wet procedures.

The low patient number but large number of variables comprising demographic, systemic, periodontal and bacterial variables prompted us to use multivariate PLS modeling for the data analysis due to its capacity to handle complex data including low number of subjects, noise and artifacts as well as distribution and colinearity of variables [20].

In addition, data processing and analysis is straightforward and does not require complex data analysis programs or computing capacity like current sequencing technologies.

We will enrich the data analysis and hypothesis generation capacity for various crosstalks among omics datasets as outlined in Figure 13.

With the data analysis and knowledge discovery capacity provided by the HPVdb, this epitope was found to be highly conserved among HPV16 strains.

It is now easy to generate genome-wide scans with more than one million SNPs (single nucleotide polymorphisms) but these huge databases pose challenges in computational capacity, data analysis and interpretation of results for genomic selection [ 2].