Sentence examples for overwhelming amounts of data from inspiring English sources

Exact(5)

With the overwhelming amounts of data that exist today, the ability to mine and reduce data is of utter importance in any field of research.

The OIG team also learned that so much of the analysts' time was spent answering emails and receiving overwhelming amounts of data and intelligence traffic that they found themselves unable to read entire field reports, or cables.

For the non-bioinformatics specialist, however, many of the currently available tools provide overwhelming amounts of data that are presented in a non-intuitive way.

This type of data is increasingly common from studies searching for susceptibility genes for common complex diseases that collect thousands of samples generating millions of genotypes and overwhelming amounts of data.

Indeed, gene profiling studies have identified a number of significant dysregulated miRNAs as "oncomiRs" or "tumor suppressors" in a variety of human cancers, and overwhelming amounts of data have strongly validated that the ubiquitously aberrant expressions of miRNAs were closely associated with the pathogenesis and progression of human malignancies.

Similar(55)

In the face of an overwhelming amount of data suggesting that climate change poses an immediate and catastrophic threat to our very existence, we remain largely inert.

Skills from different disciplines will help make sense of the overwhelming amount of data being generated.

The overwhelming amount of data generated by gene expression studies is a valuable resource for every scientist.

Many passive testing techniques consider only the control part of the system and neglect data, or are confronted with an overwhelming amount of data values to process.

Continuing this periodical shift between exposure sequences and brakes, we are able to perform an area-wide traffic monitoring without producing an overwhelming amount of data.

Traditional techniques of collecting (e.g. lightweight Python framework), storing (e.g. Oracle) and analysing (e.g. PL/SQL) data are no longer optimal with the overwhelming amount of data that are being generated.

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