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For six datasets read-across showed better prediction performance, and for two datasets better prediction performance was obtained using model predictions.
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For better prediction performance, Yan and Wang proposed a prediction-error expansion method using linear prediction [19] which used past eight samples for prediction and the prediction coefficients were integers and the order was fixed.
The experimental results show that the proposed new ESNs have better prediction performance, wider spectral radius and almost the same STM capacity as classical ESN's.
Models based on those descriptors can achieve a better prediction performance on both internal and external validation set, which means those descriptors can be extended to multiple targets from NR families.
Nevertheless, the authors found that, when applied to two ViroChip data sets used in the E-Predict study [ 32], DetectiV gave better prediction performance than E-Predict.
As shown in Table 1, the hybrid feature space of SAAC and PseAAC achieves better prediction performance compared to that of SAAC based features and that of PseAAC based features.
Prediction on unknown genes set illustrates its higher ROC scores and better prediction performance than several classic algorithms.
We evaluated GAP by comparing its prediction performance with several other well-known functional interaction prediction tools over a comprehensive dataset of known direct and indirect interactions, and observed significantly better prediction performance.
We have seen that blood pressure and some HRV parameters achieved better prediction performance than a larger set of clinical signs and HRV parameters.
For better prediction performance we introduced ChIP experiment data and histone modification data in constructing our predictor.
Our model, however, presented a better prediction performance in both sensitivity (83.44%) and specificity (92.88%).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com