Sentence examples for predictions for interactions from inspiring English sources

More accurate predictions of wave kinematics, wave forces, and body motions can be obtained, compared to linear model predictions for interactions involving large free-surface and body displacements.

The networks we reconstructed are not only validated by known interactions but also offer predictions for interactions that are likely real and could be further validated experimentally.

More specifically, these methods allow constructing testable predictions for interaction-dominant approaches to human cognition.

An application to a medium-scale model of B. subtilis shows that the method yields high-confidence predictions for known interactions from a database.

Karel Gaemers, a particle physicist at the University of Amsterdam, says their main contribution to the field is the development of a technique called "renormalization," which makes precise predictions for electroweak interactions possible.

This manually-curated, literature-derived catalog was further expanded with predictions for 34824 interactions that occur in other model organisms but with both human orthologs conserved in humans.

Interestingly, these estimates not only provide predictions for genetic interactions which are consistent with those obtained using the measured fitness, but they can even significantly improve the accuracy with which one can distinguish functionally-related gene pairs from the non-interacting pairs.

38 Predictions for protein interactions exploited the STRING tool, 39 structure analyses, and literature mining.

As we have seen while examining the predictions for Cbf11 interactions against experimental data, the score assigned by the SVM to each pair appears to be a reliable measure of the strength of the interaction and an indication of whether it is direct.

Although such predictions for physical interactions contain inevitable false positives and false negatives, we conclude that the predicted protein network can provide a useful framework to explore biological processes, expand the functional network around a protein of interest, and develop hypotheses to guide wet-lab experiments.

The obtained information is combined to give definitive predictions for each interaction.