Sentence examples for predictions and population from inspiring English sources

Inclusion of additional variables in a model can make it more mechanistically realistic and improve the match between model predictions and population patterns observed in nature (e.g. variations in population size in space and time).

We reasoned that such data would add biological plausibility to our computational predictions and population genetic analyses.

In particular, the potential role of supergenes in adaptive phenotypes has been suspected since the dawn of plant genetics, and a robust set of theoretical predictions and population genetics has developed in these areas.

The finding that the algorithm to predict diabetes that uses detailed ethnicity did not significantly differ from one that uses a broad categorization of ethnicity can be explained by two mechanisms involving statistical prediction and population disagreement index (PDI).

It is thus ideally suited to study the dependency of prediction accuracy and population size in a principled manner that avoids using neuronal subsets defined by random pooling (Bremmer et al., 1998).

With each annual cycle, we used risk prediction algorithms and population life tables to determine the probability of an individual transitioning to the other health states that is, developing non-fatal cardiovascular disease or dying from cardiovascular disease or non-cardiovascular causes.

We explore two aspects of the properties of these predictions, conflict potential and population density.

66, 67 Based on long-term average vapor pressure prediction, climate change and population projections, Hales et al 53 predicted that approximately 50%60%% of the global population would be living in areas at risk of dengue transmission by 2085.

Different studies used differing prediction targets, candidate predictors, and populations, affecting the predictors included in the final predictive models.

Genomic selection for alfalfa yield is promising, based on its moderate prediction accuracy, moderate value of cross-population predictions, and lack of sub-population structure.

Our results indicate that genomic selection for alfalfa biomass yield is promising, based on its moderate prediction accuracy, moderate value of cross-population predictions, and lack of sub-population genetic structure.