Sentence examples for fast datasets from inspiring English sources

Contrast 'uptake' time curves were calculated from dynamic, T1-weighted, RF-spoiled FAST datasets (50 frames over 162 s, 10 ml bolus of Gadovist).

Comparison of the analysis results showed that slopes and standard errors of the slopes obtained for insulin-perfused and mannitol-perfused catheters from the OGTT dataset are similar to those obtained for insulin-perfused and mannitol-perfused catheters from the fasting dataset (MPI: P > 0.48, MPM1: P > 0.41, and MPM2: P > 0.08, all with Wilcoxon's signed-rank test).

Furthermore, MRP was very fast on these datasets, completing in just ten seconds.

Effective computational systems for storage, management, visualization and analysis are necessary to cope with these fast growing complex datasets.

The MP-EST method is fast for analyzing datasets that involve a large number of genes but a moderate number of species.

MP-EST is fast on small datasets (with not too many species) but its running time grows quickly with the number of species.

SeedMap was found to be capable of producing very fast embeddings of datasets numbering in the 10s of thousands of sequences.

Because efficient implementations allow fast processing of datasets with tens of thousands of genes and hundreds of cells without overfitting, it is a promising tool for analysing such datasets.

Although it may be possible to improve the running time for restricted genomic gap penalty models involving, e.g., convex and simple convex cost functions, this algorithm is easy to implement and has proven to be sufficiently fast on the datasets we experimented with.

While under the specified parameters, the other methods can be somewhat faster for some datasets and slower for others; the fraction of data mapped was typically less than that achieved using BFAST.

Thus, only SuperFine+MRP TNT) was fast on this dataset.