Sentence examples for predictions into two from inspiring English sources

Since SNAP was trained on data that includes activating mutations, it specifically categorizes its predictions into two categories: neutral and non-neutral, where the authors intend non-neutral to include both deleterious and activating mutations.

We then classified the predictions into two categories.

In order to calculate precision, we need to divide all predictions into two classes 'true' and 'false'false

We have also binned the gene predictions into two sets: high confidence and low confidence, and have flagged loci that appear to be transposable element (TE -related.

We split the predictions into two groups, TP group and FP group, and compute the GC percentage score, reverse complementary score and conservation symmetry score for each of the instances in the two groups.

By separating the prediction into two levels, relevant input features can be applied in each level, thus the accuracy of each level can be improved more effectively.

It is similarly straightforward to estimate the posterior distribution for the proportion of variation explained by the rare variants, by dividing the variation of the prediction into two components, one corresponding to the rare variants, the other to the common variants.

I'm splitting my predictions this year into two parts because of the sheer breadth of these contests.

Thus, the group of novel predictions falls into two classes - those that, given the current literature, can be considered as true but have not yet made it into the annotation databases and those for which we could not find conclusive evidence in the literature.

We used the sequence based version of I-Mutant 3.0 that classifies the prediction into three classes: neutral mutation (−0.5 ≤ DDG ≥ 0.5 kcal/moL), large decrease (<−0.5 kcal/moL), and a large increase (>0.5 kcal/moL).

We first classify TCP throughput prediction techniques into two categories: Formula-Based (FB) and History-Based (HB).