Sentence examples for generate new predictions from inspiring English sources

This process is repeated for every ADR to generate new predictions.

Each study that identifies significant correlations between evolutionary events, processes or outcomes can generate new predictions that can be further tested with different datasets, allowing a cumulative process that may narrow down on plausible explanations, or lead to rejection of other explanations as inconsistent or unsupported.

Alternative beliefs or the more effective procedures should now be utilized to generate new predictions or new data to allow either the change of old beliefs or the acquisition of a new belief (concept).

Simulation studies can help in this identification and can generate new predictions.

To generate new predictions, users can select nodes from a protein network or provide a set of Uniprot identifiers.

Here, we model the effect of impaired reactivation ability of drug-resistant strains and generate new predictions for the expected emergence of antiviral resistance to HSV-2.

The 10 ADRs used for validation were partly selected because the predictive model made new predictions that could be tested, so all 10 have new predictions, however our method also generated new predictions for more ADRs overall.

Finally, models ought to be validated by altering some model component, generating new predictions, and then empirically testing these with independent experiments.

The government can use recently updated population data to generate new parameters for prediction every year to help physicians have better communication with other participants involved in clinical decisions in regard to PMV care.

They allow us to capture a snapshot of the global picture, understand the properties of the system as a whole, generate new hypotheses (like prediction of protein-protein interactions) and perform, in the future, targeted experiments.

We also looked at variables that have not previously been examined in order to generate new hypotheses regarding the prediction of change in physical activity.