Sentence examples for predictions in large from inspiring English sources

Here, we show how the miRNA context-dependent action can be exploited to gain high confidence predictions in large clinical cohorts, uncovering known and unknown associations between miRNA and phenotype.

The study suggests that conceptual rainfall runoff models are powerful and simple tools for monthly runoff predictions in large catchments in southeast TP, and incorporation of more catchments into regionalization can further improve prediction skills.

However, while methodologies for large-scale association studies of single nucleotide polymorphisms (SNPs) are well established, a comprehensive framework for the analysis and interpretation of genome-wide CNV predictions in large case control datasets is still lacking (Manolio et al., 2009).

Based on such reasonably good prediction skills, low-complexity flood models can be considered as a suitable alternative for fast predictions in large-scale hyper-resolution operational frameworks, without completely overriding hydrodynamic models' efficacy.

From a practical point of view, a global interpolation method, such as IDW and Kriging, as well as elevation data derived from a digital elevation model (DEM), should be included into the H/NPS models for reliable predictions in larger watersheds.

Moving away from these more or less ad hoc corrections, Kumar and Maranas [ 39] explored an automated and systematic way of reconciling in silico/ in vivo growth predictions in large-scale metabolic networks.

For this purpose, we use the learning-to-rank framework in [18], especially designed for link prediction in large networks.

The running time on the human dataset indicated that although SLAN was slower than some network learning approaches, such as the ones proposed in [ 9, 11], its computational complexity is acceptable, even for gene function prediction in large mammalian genomes.

By taking a conservative approach to protein annotation, this method offers a rigorous strategy to avoid misleading functional prediction in large-scale genomic sequencing projects.

We develop three types of predictions from our theoretical model and test these predictions in a large sample of venture capital investments in the U.S. for the period of 1987-2002.

We develop three types of predictions from our theoretical model and test these predictions in a large sample of venture capital investment in the U.S. for the period of 1987-2002.