Sentence examples for analysis of various data from inspiring English sources

The phrase "analysis of various data" is correct and usable in written English.
It can be used when discussing the examination or interpretation of different sets of information or statistics.
Example: "The analysis of various data revealed significant trends in consumer behavior over the past year."
Alternatives: "examination of diverse data" or "evaluation of multiple datasets."

Exact(2)

Table 1 details the analysis of various data sources according to the previously mentioned components of data governance framework.

Systems biology thus relies on a combination of experiments that measure multiple cellular components and computational approaches that allow the analysis of various data sets.

Similar(58)

From my experience, I have found that accurate functional prediction requires a mix of local sequence similarity and sequence profile searches, proper sequence analysis with study of sequence and phyletic conservation, structural analysis, network studies of various data points, and correlation with experimental data, all done with a heavy dose of manual tuning.

Assignments consist of small problems to familiarize students with theoretical concepts, and applications dealing with the analysis and interpretation of various data sets (soil, water pollution, atmospheric constituents, remote sensing) primarily using Matlab.

The analysis involved triangulation of various data sources, including document reviews, self-assessments, in-depth interviews with key informants, and supplementary information.

An important strength of this analysis was the use of various data sources to reconstruct historical exposures with respect to both space and time.

Only that kind of data can be used for objective evaluation of various data analysis and parameter estimation methods.

Very informative to this analysis will be the integration of various data sets towards the definition of the pathways and networks that drive cancers.

In those studies, the MAQC project assessed the performance and limitations of various data analysis methods in developing and validating microarray-based predictive models with the ultimate goal of discovering best practices.

First, our analysis relies on the accuracy of various data, in particular on self-reported dates of birth, which in turn rely heavily on the national identification number issued to each South African citizen.

Further, for genes that were absent in RH4 [ 13, 73], BlastN searches were performed using coding sequences of bacterial species closely related to M. catarrhalis, namely Psychrobacter sp., Acinetobacter sp., and Neisseria sp. Pearson correlation analysis was utilized for comparisons of various data sets as denoted in the text.

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