Sentence examples for predictions are generated with from inspiring English sources

All predictions are generated with associated uncertainty metrics [Patil et al., 2011].

Transcription factor recognition site predictions were generated with MatInspector [66].

Structural disorder predictions were generated with DISOPRED2 (http://bioinf.cs.ucl.ac.uk/disopred) [33].

The predictions were generated with code from TargetScan 6.0 [ 21, 22].

To examine extensibility of the S. stipitis dynamic model to different microaerobic conditions, batch experiments were performed at two additional k L a values and model predictions were generated with the same uptake parameter values listed in Table  1.

To examine extensibility of the S. cerevisiae dynamic model to different aeration levels, a microaerobic batch experiment was performed at a k L a of 5.5 h-1 and model predictions were generated with the same uptake parameter values listed in Table  1.

For each of these, a tabular aerodynamic model based on CFD predictions is generated along with validation against wind tunnel experiments and flight test measurements.

In the second phase of GIS, called relation prediction, the authors predict the relationship between the gene pairs by the sentence expression pattern and the prediction rules that are generated with training samples.

Based on the prediction of weather conditions, these power references are generated with taking into account some constraints related to the reliability of each subsystem.

Different scenarios are considered, which are generated with the use of probabilistic forecasting, since prediction involves inherent uncertainty.

For exons with small RNA reads localized to a small window, sequences surrounding the small RNA reads were extracted and fold predictions were generated using RNAfold.