Sentence examples for identifies a large amount of from inspiring English sources

Exact(1)

Moreover, ION identifies a large amount of essential proteins which have been ignored by eight other existing centrality methods because of their low-connectivity.

Similar(59)

The effort was based on a long-discussed theoretical weakness of the network: that if one agency controlled a large number of the "exits" from the Tor network, they could identify a large amount of the traffic passing through it.

Panseq did, however, also identify a large amount of sequence as accessory that was not identified as such by AGEnt.

By restricting sequencing on a smaller fraction of the genome, overall sequencing costs are reduced compared to WGS strategies, while still identifying a large amount of genetic variation.

The three-fold validated network of life cycle stage characteristics of Plasmodium falciparum could identify a large amount of the known associations from literature in only one study.

We used the polar bear reference assembly to identify a large amount of Y-linked sequence, totaling 1.9 Mb distributed across 112 Y-linked scaffolds.

Ina critical review conducted in 2007, Warfa et al. identified a large amount of evidence on khat, most of which related to khat and to mental health, its adverse effects, and its harms to users and to society [ 52].

Utilization review has also been implemented by the Bureau of National Health Insurance BNHIin in Taiwan, but it was done retrospectively; under such situation, high-expenditure users could only be identified after a large amount of expenditures had occurred, and only a certain proportion of this population would remain high-expenditure users in the following years.

Subsequently, 61,431 and 70,359 unigenes with an average length of 628 and 617 nt were found in the outer-petal and inner-petal, and 6,345 DEGs were identified, which provided a large amount of information for molecular biological research in P. lactiflora.

These models, formally known as linear parameter varying (LPV) models, tend to be difficult to identify because they contain a large amount of coefficients that require calibration.

Therefore, we expect that the ability to identify individuals who spend a large amount of time in the same locations should be generally low.

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