Sentence examples for predictions in predicting from inspiring English sources

FunFHMMer, which only uses domain information, was featured among the top five among 110 automatic function prediction methods (some of which use information from heterogenous data sources for making predictions) in predicting biological process GO terms and among the top 10 in predicting molecular function terms.

With more advanced motion models, it is possible to obtain better predictions in predicted video coding schemes (and lower bitrates for the residual signals) and higher-quality SI frames in distributed video coding scheme (and fewer SI errors to correct with lower bitrates).

Nevertheless, our FBA predictions fail in predicting co-consumptions of substrates in phases III to V. When the preferred substrate is limited (glucose) but oxygen is still available, our model predicts that the second best substrate will be consumed (glycerol).

In conclusion GRNN gives better prediction accuracy in predicting porosity than FFBP.

In this study, we use the metric to evaluate the performance of the prediction models in predicting the test dataset and not the training dataset.

Absolute values of mean prediction bias in predicting dib ranged from 0.09 cm to 1.76 cm and RMSE ranged from 1.04 cm to 4.70 cm.

ANN showed less prediction error in predicting the thermal resistance and air permeability of plated fabrics as suggested by low values of mean absolute percentage error compared to response surface equations.

ANN showed less prediction error in predicting the thermal resistance (MAPE 4.59 as against 15.99 for response surface fitting equations) and air permeability (MAPE 7.40 against 12.48 for response surface fitting equations) of plated fabrics as compared to response surface equations (Table 9).

MiRNAs can act as biomarkers of human lung cancer, and this may have important clinical applications in prognosis prediction and in predicting the molecular pathogenesis of cancer, as well as in the development of targeted therapies [ 15- 17].

In a cross-validation experiment in yeast, mouse and human, our method greatly outperformed previous state-of-the-art function prediction algorithms in predicting sparsely annotated functions, without sacrificing the performance on labels with sufficient information.

These differences in the working definition indicate that the current prediction pipelines and databases for operon prediction are perfect in predicting condition-specific transcription units/operons in bacterial genomes.