Sentence examples for predictions where all from inspiring English sources

Our work makes it possible to go beyond a qualitative assessment, towards more quantitative predictions where all hypotheses are clearly stated.

Moreover, the target information of miRNAs deposited in Tarbase [ 23] was obtained and merged with the predictions, where all the miRNA-gene interactions from Tarbase have been experimentally validated.

Figure 3C shows results for simulation <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0013584.e179.PNG" class= inline-graphic"/> - data generated from SIFT prediction where all variants with MAF <img src="http://journals.plos.org/plosone/article/asset?id=info:doi/10.1371/journal.pone.0013584.e180.PNG" class="inline-graphic"/> are causal.

This result is consistent with model prediction, where all the three AP-1-related binding sites are predicted to contribute to the under- expression in androgen-independent samples (TF < 0, Table 1).

Thus, we also tested a variant of the RWS predictions (RWS ) where all predicted homodimer scores were set to 0 in a post-processing step.

Overall, when data for aerobic conditions is viewed phylogenetically, there is no clear trend specific to the two pathogenic lineages, yet it appears that E. coli CFT073 has evolved with a similar growth rate in comparison to the E. coli ancestral core predictions, where as all other strains have evolved with higher growth rates and yields.

The Matthews correlation coefficient is a convenient method for combining all of the predictions into a single value: <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0006736.e037.PNG" class= inline-graphic"/> The value of MCC ranges from 1, where all predictions are correct, to −1, where all predictions are incorrect.

Considering that 95% of the predictions on our test set had an error less than 0.2 eV/atom, we removed all predictions where this difference is smaller than 0.2 eV/atom to identify the predictions most likely to be correct.

The main improvement is that the number of complete failures, i.e. cases where all predictions are wrong, is halved.

Thus, experimental observations were compared with model predictions for the case where all sugars were absent.

Perhaps not surprisingly, the group this time around was unwilling to venture a guess on that staple of all market predictions: where the Standard & Poor's 500-stock index will end the year.