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Nowadays, the availability of large data quantities through automated monitoring allows more in-depth this phenomenon to be pointed out with new experimental evidence.
Availability of large data sets — ICR, transcription, voice and image files, weather data, and logistics data are now available in ways that were never possible in the past; even old "paper sourced" data is coming online.
Obviously, development of such strategies will be greatly enhanced by the availability of large data repositories [16, 17, 18, 19].
Toxicogenomics offers the promise of the availability of large data sets that other investigators can compare against their own studies.
Furthermore, availability of large data sets enabled us to generate a Bayesian network based on KEGG pathways which has provided insights into the interactions among cellular pathways.
The availability of large data sets also makes it possible to derive a realistic, systems level network based on the regulation of metabolic pathways identified from the expression patterns of their associated genes.
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Furthermore, the funding of PhD studentships and Postdoctoral Research Associates could be stirred toward the computational data analysis rather than data generation because the availability of large public data repositories allows to work on biomedical problems without the need to generate data [ 27].
The availability of such large data resources has spurred the interest of researchers in applying advanced data-driven based machine learning (ML) techniques for accelerated discovery and design of new materials with select engineering properties19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39.
Availability of a large data sample allowed for a valid comparison between different definitions of frequent attendance.
The recent increase in the availability of very large data sets has enabled major breakthroughs in Artificial Intelligence.
The availability of such large data sets offers real scope for statistically accurate calculations to describe the long-range evolution of the bulk flow and stress fields during industrial handling and processing of material in granular and powder states.
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