Sentence examples for classification of predictions from inspiring English sources

Classification of predictions with respect to the target position (in exons, introns, or in 5' or 3' UTRs) was performed, and predictions in the mirna table were flagged accordingly.

All variations predicted by BioQuali - except those about protein complex and phenotypic nodes - were compared to experimental observations on the expression levels of their corresponding mRNAs, according to the classification of predictions introduced in the Method section.

For the classification of prediction quality, a correlation analysis (correlation coefficient R), calculated RMSE (Root Mean Square Error) and MAPE Mean Absolute Percent Errorr) and Black-Altman method were used.

For the classification of prediction quality, a correlation analysis (correlation coefficient R), calculated RMSE (Root Mean Squared Error) and Mean Absolute Percentage Error (MAPE) and Bland Altman method are used.

Fig. 5 Sequential prediction classification of spectrum prediction techniques.

The 'Functional type' column shows the result of the post-processing classification of these predictions detailed in the Method section.

Figure 7 Classification of the prediction results for YASARA, Protonate 3D, Protoss, and Protoss without tautomer and protonation state analysis (TPA) on the Astex Set.

The choice of the normalization procedure may greatly affect the classification accuracy of prediction rules, perhaps even more than the choice of the classifier.

In this paper, we presented a comprehensive survey and classification of spectrum occupancy prediction (SOP) based on theoretical sequential prediction framework.

To structure the prediction methods, we propose a classification that groups the methods according to the type and the granularity of information used in the prediction process (Figure 2). Figure 2 A classification of content popularity prediction methods.

Her primarily research interests were in phylogenetic tree reconstruction, remote homolog recognition, protein structure prediction, subfamily classification, prediction of critical positions in molecules, multiple sequence alignment, protein-protein interaction, pathway inference, computational prediction of protein domain structure, and other aspects of protein function and structure.