Sentence examples for predictions that relied from inspiring English sources

Finally, the inclusion of ChIP data significantly improved the quality of some successful enhancer predictions, as certain predictions that relied solely on motifs as discriminating features did not fall within low FPR cutoffs.

A technology that could fill this space is nowcasting, i.e. short-term predictions that rely on straight-forward extrapolation of recent observations in time.

This initial annotation is based on in silico predictions that rely on sequence similarity.

To test this hypothesis, we formed a set of predictions that rely on a series of historical demographic variables including comparisons of effective population size in both the modern species and their common ancestor, as well as patterns of population size change in the history of the focal species.

Therefore, we propose a method that considers: (1) multi-criteria profiling; (2) online rating prediction that relies on trust modelling and the k-NN algorithm; and (3) a evaluation, including the metrics, which assess the proposed method.

To overcome this issue, both databases have developed additional methods to improve prediction accuracy that rely on the use of additional context information, such as accessibility (using structural models and predictions of intrinsic disorder), evolutionary conservation, cell compartment (based on annotation), and protein protein interactions.

Bankruptcy prediction models that rely on ensemble techniques have been studied in depth over the last 20 years.

Operon maps are largely generated by computational prediction programs that rely on gene conservation and genome architecture and may not be physiologically relevant.

The prediction-correction algorithm proposed in this paper addresses the limitations of existing methods by tackling constrained problems and by designing a first-order prediction step that relies on the Hessian of the cost function.

As a result, deep learning approaches to the prediction problem that rely on genomic data have become increasingly popular in the last few years.

First, we want to point out that our approach is based on a long-term prediction model that relies on historical load patterns.