<p>The performance of models on an independent datasets, these models were developed on standard datasets.</p
<p>The average performances of different individual feature-based models, evaluated on IMMA2 by 20 i...
<p>Performance comparison of resulted fusion measures with IQA models that were used in optimisation...
<p>The performance comparison of the models trained with different sequence lengths.</p
<p>The performances of the best models on the independent dataset for different substrate-specific t...
Performance comparison of a species-specific predictor using the test dataset.</p
Comparing performance of the proposed methods built with different number of individual models.</p
Performance of sparse and non-sparse discriminant models in internal validation compared on the same...
Estimates of fixed effects coefficients and performance metrics for the prediction models.</p
Comparison of the performance of the KISM model on datasets with the state-of-the-art methods.</p
Critical performance metrics for each models and cross validation set (standard deviation shown in p...
<p>The performances of the best models on the main dataset for different substrate-specific transpor...
<p>The effect of the number of sampling data set on the modeling performance.</p
<p>Performance comparisons between three different models using breast cancer datasets.</p
The performance of the feature sets selected for the causal discovery experiments.</p
<p>Our model<sup>1</sup> is constructed on the sequence dataset compiled from the bound structures; ...
<p>The average performances of different individual feature-based models, evaluated on IMMA2 by 20 i...
<p>Performance comparison of resulted fusion measures with IQA models that were used in optimisation...
<p>The performance comparison of the models trained with different sequence lengths.</p
<p>The performances of the best models on the independent dataset for different substrate-specific t...
Performance comparison of a species-specific predictor using the test dataset.</p
Comparing performance of the proposed methods built with different number of individual models.</p
Performance of sparse and non-sparse discriminant models in internal validation compared on the same...
Estimates of fixed effects coefficients and performance metrics for the prediction models.</p
Comparison of the performance of the KISM model on datasets with the state-of-the-art methods.</p
Critical performance metrics for each models and cross validation set (standard deviation shown in p...
<p>The performances of the best models on the main dataset for different substrate-specific transpor...
<p>The effect of the number of sampling data set on the modeling performance.</p
<p>Performance comparisons between three different models using breast cancer datasets.</p
The performance of the feature sets selected for the causal discovery experiments.</p
<p>Our model<sup>1</sup> is constructed on the sequence dataset compiled from the bound structures; ...
<p>The average performances of different individual feature-based models, evaluated on IMMA2 by 20 i...
<p>Performance comparison of resulted fusion measures with IQA models that were used in optimisation...
<p>The performance comparison of the models trained with different sequence lengths.</p
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