Sentence examples for based on large datasets from inspiring English sources

In addition, building the model based on large datasets like JM1 or even smaller ones consumes lots of time when CSCA is used compared to the other algorithms but the results are relatively acceptable, especially when we consider AIS classifiers for building models.

The model is based on large datasets collected in several countries (Tuomi et al. 2009).

However, many recent studies based on large datasets have found little support for the island rule for many vertebrate groups (e.g., [12], [13]).

Hence a comprehensive high-throughput effort focused on generating tyrosine phosphorylation profiles will add to the knowledge base used to construct robust algorithms based on large datasets.

We present results based on NJ and ML trees only because this has the greatest potential for computationally intensive analyses based on large datasets and other studies have shown that the choice of the phylogeny reconstruction algorithm did not significantly alter the tests of DNA barcode performance [19], [26].

Higher PSA values may provide generalized information, from which inferred risk is calculated based on large datasets but fails to provide patient-specific information that can guide surgery.

There are earlier studies, based on large register datasets and one meta-analysis, estimating the risk for anal sphincter injury over the maternal BMI strata and they showed no association between maternal obesity and anal sphincter injuries [ 5, 8, 9].

This approach can also help provide a greater level of accuracy for smaller selections as relationships are based on larger datasets.

We should note that the number of responding ER+/HER2− tumors is small in our dataset, and a definite conclusion should therefore be based on larger datasets.

Reported evaluations of in vivo clearance prediction-methods are often based on relatively small datasets (up to 50 compounds), although a few investigations are based on larger datasets (up to 400 compounds).

The low frequency of this motif is in strong contrast with previous ideas on the central role of this motif in transcription, but more in line with more recent estimates based on larger datasets [ 34, 35].