Sentence examples for predictions for important from inspiring English sources

The model predictions for important species in this mass range are discussed in the light of reaction flux and sensitivity analyses.

Genomic prediction for important dairy traits such as production, fertility and health traits using single nucleotide polymorphisms (SNPs), has been widely explored and applied in animal breeding.

For that reason, it is crucial to have adequate and valid predictions for this important clinical outcome in hospital epidemiology.

The results indicate that the ANN can be successfully trained by the experimental data, and provide accurate predictions for the important quantities in the sector of the landfill where the data had been collected.

In their manuscript entitled " ABS Scan: In silico alanine scanning mutagenesis for binding site residues in protein ligand complex", the authors have discussed the development of an in silico workflow for the prediction of important residues for ligand recognition in a given protein-ligand complex.

Nevertheless, the data is valuable for prediction of important HRQoL outcomes in younger men facing treatment decisions.

FoldX 32 is one of the popular webservers that is used for prediction of important interactions that provide stability to the protein complexes, but it is not very accurate.

For instance, those engaged in mutagenic studies would like to generate many useful predictions from simulations for important amino acid residues.

Using haplotype blocks (haploblocks) based on LD, from a high-density (HD) marker data in the Nordic Holstein population, reliability of genomic prediction for economically important traits was increased by 3%% when compared to predictions using individual SNPs [ 4].

Given the computational prediction for an important role of NF-κB-induced transcription of Nfkb2, we compared the inducible expression of the crosstalk mediator Nfkb2 in response to LPS or IL-1 to understand the molecular basis of stimulus-specific control.

In this work we apply a population balance approach for the prediction of important polymer properties such as molecular-weight and copolymer composition distributions.