Sentence examples for considerably larger data from inspiring English sources

If the focus is on the actual density estimates rather than the illustration of an approach, a considerably larger data set should be used to characterize detector performance.

This conclusion is based on analyses xof considerably larger data sets than those used in earlier studies; for example, Carmel and co-workers [ 87] analyzed 391 sets of orthologous genes from 19 eukaryotic species.

To get a realistic view of the diagnostic power of the proposed automated system, the authors should repeat the evaluation with a considerably larger data set, after increasing the number of adenomas and carcinomas, both comprising a large spectrum of tumor diameters.

These results indicate that we were working at the limit of model complexity given our sample size, and more complex models would require considerably larger data sets (in terms of number of species) to avoid problems in estimation and model comparisons.

We have investigated the influence of important experimental and environmental factors on the cloning outcome in a considerably large data set comprising over 270 porcine nuclear transfer experiments.

Based on a considerably large data set from 274 SCNT experiments (in total 18,649 reconstructed embryos transferred into 193 recipients), performed over a period of three years, we assessed the relative contribution of season, type of genetic modification, donor cell source, number of cloning rounds, and pre-selection of cloned embryos for early development to the cloning efficiency.

Future developments will be directed towards the analysis of data sets that are considerably larger than the data sets analyzed so far.

First, a considerably larger amount of data is used in this study, both in terms of taxon and gene sampling.

The NKI2 and Wang data sets are considerably larger than the TRANSBIG data set.

Lastly, data sets considerably larger than used by SG can be employed as genome size data is readily available for many major transitions along the tree of life (see, e.g., http://itol.embl.de/itol.cgi and http://www.ncbi.nlm.nih.gov/genome).nih.gov/genome

Many of the contemporary databases used in data classification research [1 10] uses considerably large number of data points to represent an object sample.