Sentence examples for predictions for them from inspiring English sources

As shown in Table 5, only 11 of these proteins had known structures, and ETA made five predictions for them, all based on matches to proteins with less than 30% sequence identity.

This statement is obvious if you consider that the estimation of total variance in a set with randomly missing values is unbiased, yet explained variance is biased, as missing values cannot contribute to the calculation: while predictions for them are available, the values themselves are not present.

You're working with North Of Nine right now, what's your prediction for them?

However, certain bundles did not follow this rule: although optic radiations were among the most advanced in maturation, the prediction error for them was surprisingly low (1 %).> > > -wrap-foot> For each bundle, the value of the Mahalanobis distance predicted by the maturational model (Eq. 4) and the true value calculated using Eq.  3, are detailed.

The flow regimes are described and predictions for transitions between them are developed.

Error-domain model falsification generates a space of possible model instances (combination of parameters), obtains predictions for each of them and then rejects instances that have unlikely differences (residuals) between predictions and measurements.

From the total of 387 newly annotated proteins, maxF returned predictions for 84 of them, DeltaL for 328 proteins and LogitR for 147 proteins.

When applied to our dataset, it returned the same predictions as showed in Table 1, except for proteins Ssu05_0811 and Ssu05_1682, for which LocateP returned a " [membrane] N-terminally anchored" prediction (PSORTb returned unknown predictions for both of them).

The dire predictions many made for them were lacking in two known unknowns: just how good or bad is the Premiership and how well would Welsh adjust?

He digs back through the season predictions for different years, aggregates them, and then sees how they went.

What troubles me is that when I look at the predictions for 2015, I find them sorely lacking in inspiration and vision while awash in buzzwords, rehashed/recycled thinking and the notion that what is pontificated is new and has never happened before.