Sentence examples for predictions will improve from inspiring English sources
Tests of these predictions will improve understanding of the coupling between memory maintenance and neuronal activity.
Previous experience suggests that as the model is expanded and refined through successive iterations, the accuracy of the essentiality predictions will improve [ 3, 57- 59].
In light of the many genomes that become available, it is important to accurately identify these regions, as better core promoter predictions will improve the genome annotation and allow a better understanding of the transcription-initiation process.
As genome-wide association studies become larger, and researchers' gain confidence in identifying the true risk variants for Alzheimer's Disease, "prediction will improve," Avramopoulos added.
The clinical application of these biomarkers for early detection, outcome, and toxicity prediction will improve survival and quality of life of patients with HNSCC.
For instance, there's no sign as yet that the advent of physics-based forecasting will improve predictions of the power of a solar storm inside Earth's magnetic cocoon where it matters, notes forecaster Douglas Biesecker of SWPC.
This provides support for our notion that the inclusion of many more SNPs in a prediction model will improve predictive performance.
How can you decide whether employing a prediction machine will improve matters?
For those iOS users who haven't used SwiftKey and don't use Evernote the app's word-prediction powers will improve the most as you type in up to 100 documents in your personal writing style.
Given its stronger effect on PrCa risk, inclusion of rs17632542 in place of rs2735839 in risk prediction models will improve discrimination in such models.
These models use potentially reversible morphological and molecular biomarkers that will enhance short-term risk prediction, that will improve the probability of response by matching the biomarker profile in precancerous tissue to agents in the appropriate drug class, and that will be used to assess response in a preliminary fashion before a cancer incidence trial [ 6].
