Sentence examples for approaches in prediction from inspiring English sources

Parametric or non-parametric statistical approaches [12, 13] can be superior to outperform physically based approaches in prediction accuracy [14], such as neural networks (NNs).

The signature/biomarker identification was also aided by network analysis, which brought advantages over the previous gene-list approaches in prediction accuracy.

The results highlight the successful application of the electrochemical depth profiling approach in prediction of the corrosion behavior of the aluminum brazing sheet and the importance of the electrochemical activity of the outer 10 μm in controlling the corrosion performance of the aluminum brazing sheet.

Evaluated on 52 protein chains using leave-one-out cross validation (LOOCV) and an independent test set of 14 protein chains, the two-level approach consistently improves the conventional direct approach in prediction accuracy, with 80% reduction of input for prediction.

Generally, we can distinguish two main approaches in promoter prediction.

Bioinformatics approaches in allergen prediction have evolved appreciably in recent years to increase sophistication and performance.

In contrast to the above fact-based approaches, in silico prediction of plant promoter elements by survey of the Arabidopsis genome is also reported.

See Supplementary Figure S7 for our results on the Y2H network, where Neighborhood still outperforms the clustering approaches in function prediction on the original network and on networks with a considerable fraction of annotations removed.

We compare the performance of the five weighting approaches in complex prediction, when each of the six clustering algorithms is used separately, and when all the clustering algorithms are used together with the COMBINED strategy.

The analysis showed the superiority of the FCM learning approach in yield prediction.

Results show the advantage of the proposed SRP-ALRBF approach in both prediction accuracy and robustness.