Sentence examples for predictions were those from inspiring English sources

For the predicted data, the accepted target predictions were those identified by at least four out of the five well-established databases, including miRWalk [ 23], miRANDA [ 24], miRDB [ 25], RNA22 [ 26], and TargetScan [ 27].

The best predictions were those of (i) a classification tree based on farmers' indicators of erosion (Pearson's Phi correlation coefficient ρ = 0.72, n = 334, α < 0.01); (ii) a semi-empirical model that accounted for overland flow reinfiltration (ρ = 0.43); and (iii) a logit regression model based on slope and ground cover (ρ = 0.34).

Across the community, the least significant predictions were those at time zero.

The most plausible predictions were those that showed a delay in departure equivalent to the observed delay of one month.

The remaining false positive predictions were those that could not be reconciled in RING, due to lack of the information available regarding the metabolic network.

They may be classified into two types with respect to the constraint propagation as follows: Forward predictions are those which are straightforwardly deduced from precursors of a predicted node.

The best predictions are those with least RMSE values.

The most accurate predictions are those based on optimised mixed isotropic kinematic formulations combined with a multi-pass moving heat source welding analysis.

Our analysis indicates that the most robust oriC predictions are those based solely on mini-ORB clusters.

Highly reliable predictions are those with association strength in the top 5%, as described in Section 3.2.

Sequences included in the secondary structure prediction were those classified as b or c.