<p>ROC curves of CKSAAP_PhSite and the binary encoding scheme in terms of serine (S) site prediction based on the training dataset.</p
ROC curves of the methods with different features for representing images and different classifiers....
<p>(A) ROC curve of the 349-gene predictive model in training set (200 samples, AUC = 0.826; <i>p<</...
<p>Receiver operating characteristic (ROC) curves of the considered B-cell epitope predictors on the...
<p>ROC curves of CKSAAP_PhSite and the binary encoding scheme in terms of tyrosine (Y) site predicti...
<p>The ROC curves of dTm binary classification models for predicting the “unseen” data.</p
<p>ROC curves for prediction cleavage sites in proteins collected in CutDB for MMP-2, MMP-3, MMP-8, ...
<p>The ROC curves of the computational method based on the Z-curve, HOG and MLP neural network.</p
<p>The ROC curves of the computational method based on the Z-curve, HOG and MLP neural network.</p
<p>ROC curves of the method corresponding to K, R, T and P carbonylation site predictions using 10-f...
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
ROC curves of the PR (a) and CR (b) model for the best and worst training (solid) and the validation...
<p>The ROC curve for the binary classification of residues of reference multiple sequence alignments...
<p>Receiver operating characteristic (ROC) curves of the considered B-cell epitope predictors on the...
<p>ROC curves of different encoding SVM models using a 10-fold cross-validation.</p
<p>The ROC graph is plotted to show the performance of the binary classifiers.</p
ROC curves of the methods with different features for representing images and different classifiers....
<p>(A) ROC curve of the 349-gene predictive model in training set (200 samples, AUC = 0.826; <i>p<</...
<p>Receiver operating characteristic (ROC) curves of the considered B-cell epitope predictors on the...
<p>ROC curves of CKSAAP_PhSite and the binary encoding scheme in terms of tyrosine (Y) site predicti...
<p>The ROC curves of dTm binary classification models for predicting the “unseen” data.</p
<p>ROC curves for prediction cleavage sites in proteins collected in CutDB for MMP-2, MMP-3, MMP-8, ...
<p>The ROC curves of the computational method based on the Z-curve, HOG and MLP neural network.</p
<p>The ROC curves of the computational method based on the Z-curve, HOG and MLP neural network.</p
<p>ROC curves of the method corresponding to K, R, T and P carbonylation site predictions using 10-f...
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
ROC curves of the PR (a) and CR (b) model for the best and worst training (solid) and the validation...
<p>The ROC curve for the binary classification of residues of reference multiple sequence alignments...
<p>Receiver operating characteristic (ROC) curves of the considered B-cell epitope predictors on the...
<p>ROC curves of different encoding SVM models using a 10-fold cross-validation.</p
<p>The ROC graph is plotted to show the performance of the binary classifiers.</p
ROC curves of the methods with different features for representing images and different classifiers....
<p>(A) ROC curve of the 349-gene predictive model in training set (200 samples, AUC = 0.826; <i>p<</...
<p>Receiver operating characteristic (ROC) curves of the considered B-cell epitope predictors on the...
DOI
Add to ORKG