Sentence examples for huge experimental data from inspiring English sources

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The particular system chosen for the study, because huge experimental data is available, consistent explanation is timely needed.

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Many ground-based, aircraft-based, and satellite-borne experiments have been conducted, and a huge amount of experimental data has been recorded using dedicated receivers.

The agreement between the huge set of experimental data and the detailed calculations by the model is good, confirming the validity of both the experimental and the theoretical approaches.

The huge lack of experimental data for a large number of end-points requires tools able to quickly highlight the potentially most hazardous and toxic pharmaceuticals, focusing experiments on the prioritized compounds.

In a pre-release promotional piece, MacWorld cited Xgrid among the Unix features in "10 Things to Know about TIGER", calling it "handy if you work with huge amounts of experimental data or render complex animations".

SAGE usually generates a huge amount of experimental data, i.e., SAGE tag sequences and their counts (including noisy and redundant data).

A huge amount of experimental data supports the activation of the transcription factor NF-kB as a key redox-sensitive event associated with vascular dysfunction (reviewed in 7).

In addition, yeast is the most studied eukaryotic organism for which a huge amount of experimental data and highly detailed annotations, with an average of seven GO terms per protein, are available (see Fig. 2).

Based on a huge amount of experimental data a "global toggle switching" mechanism is assumed to take place during ligand induced activation, whereby a vertical see-saw movement of transmembrane helix (TMH) 6 occurs around a pivot [15], [16].

Furthermore, despite the huge amount of experimental data points, model 1 as well as model 2 seem to be over-determined; too many parameters show correlation, which indicates that one parameter can be enough to characterize the replication rate in budding yeast, as we recently proposed [42].

However, it is difficult to recognize and evaluate relevant biological processes from the huge quantities of experimental data.

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