Sentence examples for predictions and high from inspiring English sources

The inclusion of irrelevant, redundant, and inconsistent features in the data-mining model results in poor predictions and high computational overhead.

In this paper, capabilities of the SCANAIR transient fuel performance code are evaluated and extended for boiling water reactor (BWR) fuel low temperature cladding failure predictions and high temperature thermal hydraulics modelling.

In general, PASSion displays a balanced performance with both a high number of predictions and high confirmed ratios.

The results show that the developed models provide better predictions and higher accuracy than the published empirical correlations and have the capability to fulfill the need of more accurate correlations for Pakistani crude oil.

Comparisons were made between predictions and high-confidence subsets (Table  1), and the full sets (Table  2) of Sc. pombe and S. cerevisiae gene annotations.

This set of genes and their corresponding enzymes constituted the central core for evaluating the coherence between in silico predictions and high-throughput data interpretations.

While gene predictions and high-throughput genomics data can be of variable quality, studies have demonstrated that consistent results for interactions between homologous genes in multiple organisms, so called Interolog Analysis, can be more reliable [ 3- 5].

In order to evaluate and create a proper framework for comparison between in silico predictions and high-throughput data, we defined the consistency coefficient as the fraction of enzymes (genes) that were actively predicted in silico and were identified by high-throughput technology.

They are characterized by dips in the disorder predictions and higher hydrophobicity and stability when compared to adjacent (in the chain) residues.

Since the mid-1990s, maternal serum testing and, later, measurement of fetal nuchal translucency, were successful screening tests, and antenatal screening has achieved higher rates of correct predictions and higher coverage year on year.

This validated the approach to identifying new LEF1/TCF targets based on combined in silico binding site prediction and high expression in the thalamus (i.e., the region with high levels of nuclear β-catenin and LEF1/TCF factors in neurons).