<p>The performance was evaluated using REC, PRE, SPE, AUC and AURPC measures.</p>a<p>Prediction performance of the RF model using the 10 selected sequence features only.</p
<p>The experiment was conducted 10 times using 10-fold cross-validation performed on the training se...
<p>Performance assessment of structural and functional residue predictors using cross-validation on ...
a<p>“-” denotes that the prediction result at this specificity level is not available by this tool.<...
<p>The performance was evaluated using REC, PRE, SPE, AUC and AURPC measures.</p>a<p>Prediction perf...
<p>Predictive performance of the four types of zinc-binding residues (CHED) of our method, SitePredi...
<p>(A) and (B): Recall-Precision and ROC curves for our method; (<b>C</b>) and (<b>D</b>): Recall-Pr...
<p>Recall-Precision and ROC curves displaying the performance of the three methods at both residue (...
<p>Predictive performance of RF and TT for different values of , tuned value for and . Best AUC val...
<p>Performance on the benchmark training dataset was evaluated based on AUC, MCC, Accuracy, Specific...
a<p>results from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0040104#pone-...
5-minute-pre-shock data contain 1000 R-R intervals while 10-second-pre-shock data contain 1600 R-R i...
<p>(A) Cross-validation (CV) performance of models trained on all available native IRES sequences sh...
<p>Each value is averaged over 100 independent runs with random divisions of training set and probe...
<p>The methods are sorted by their AUC values in the ascending order.</p>a<p>results based on 5-fold...
<p>The prediction performance of the final model using 18 features, by 10-fold cross validation.</p
<p>The experiment was conducted 10 times using 10-fold cross-validation performed on the training se...
<p>Performance assessment of structural and functional residue predictors using cross-validation on ...
a<p>“-” denotes that the prediction result at this specificity level is not available by this tool.<...
<p>The performance was evaluated using REC, PRE, SPE, AUC and AURPC measures.</p>a<p>Prediction perf...
<p>Predictive performance of the four types of zinc-binding residues (CHED) of our method, SitePredi...
<p>(A) and (B): Recall-Precision and ROC curves for our method; (<b>C</b>) and (<b>D</b>): Recall-Pr...
<p>Recall-Precision and ROC curves displaying the performance of the three methods at both residue (...
<p>Predictive performance of RF and TT for different values of , tuned value for and . Best AUC val...
<p>Performance on the benchmark training dataset was evaluated based on AUC, MCC, Accuracy, Specific...
a<p>results from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0040104#pone-...
5-minute-pre-shock data contain 1000 R-R intervals while 10-second-pre-shock data contain 1600 R-R i...
<p>(A) Cross-validation (CV) performance of models trained on all available native IRES sequences sh...
<p>Each value is averaged over 100 independent runs with random divisions of training set and probe...
<p>The methods are sorted by their AUC values in the ascending order.</p>a<p>results based on 5-fold...
<p>The prediction performance of the final model using 18 features, by 10-fold cross validation.</p
<p>The experiment was conducted 10 times using 10-fold cross-validation performed on the training se...
<p>Performance assessment of structural and functional residue predictors using cross-validation on ...
a<p>“-” denotes that the prediction result at this specificity level is not available by this tool.<...
DOI
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