Sentence examples for predictions using multiple from inspiring English sources

The NAB algorithm quantifies the uncertainty in the predictions using multiple models generated during history matching phase and this does not require additional simulations.

We have additionally extended this work to predictions using multiple, homologous sequences, where the same principles hold true [ 23- 26].

However, when we score the scrambled yeast species promoters using non-GC-compensated A ma P-values, we get 41 significant predictions using multiple-species G omo.

This indicates that formulas for estimating the accuracy of genomic prediction using multiple populations need further investigation to define the best way to calculate genomic relationships across populations.

Summary: The Pine Alignment and SNP Identification Pipeline (PineSAP) provides a high-throughput solution to single nucleotide polymorphism (SNP) prediction using multiple sequence alignments from re-sequencing data.

I-TASSER is an automated pipeline for protein tertiary structure prediction using multiple threading alignments and iterative structure assembly simulations [ 19].

This allows us to generate a set of recommendations for how research in this area can be improved, and to flag those methodological techniques and issues researchers should recognise when modelling risk prediction using multiple sources of IPD.

If this 85th percentile operating speed prediction model using multiple linear regression analysis is implemented and enhanced into current guideline and standard in Malaysia, it could play an important role in designing or redesigning of the horizontal alignment for two-lane rural highway in Malaysia.

When constructing prediction models using multiple parameters, it is important to choose the most optimal parameter set[19].

To facilitate analysis of other sequences and additional data, we have developed an on-line web tool, ProbTF, which implements our probabilistic TF binding prediction method using multiple data sources.

Development of prediction techniques using multiple signals may provide the greatest value if the value of each signal is understood.