<p>The performance of the analyzed prediction methods is assessed with the TPR at the FPR of the 11/25 rule (0.05 in the NSI/SI and 0.04 in the R5/X4 dataset) and with a cutoff-independent measure of the size of the area under ROC curve. The table lists the performances of several classification methods and their combinations. The predictions of the combined methods are calculated as the Euclidian distance from the origin of the prediction score space of each of the individual methods.</p
<p>Prediction measures for the classifier at k = 5 built by SSVM and LLR: true positive rate (TPR), ...
<p><b>(A)</b> AUC of the three algorithms. AUC measures the area under the ROC curves. <b>(B)</b> Pe...
Performance metrics (r2, AUC) and their standard deviations are computed on an independent test set....
<p>Performance of the individual coreceptor prediction methods (A) and their selected combinations (...
<p>Prediction performance of CoReCo phases I and II, naive Bayesian classifier and individual BLAST ...
<p>Comparison of various prediction methods in terms of the area under the ROC curve (AUC).</p
<p>Four sets of boxplots represent predictive performance measured in Area under the ROC curve (AUC)...
<p>(A), CLF; (B), MF; (C), PF; (D), CF and (E), CRYS class. PredPPCrys-I denotes the first-level pre...
The predictive performance results comparison for MCC, AUC PRC and AUC ROC for all investigated clas...
<p>(A) Cross-validation (CV) performance of models trained on all available native IRES sequences sh...
<p>(A) Scheme of the prediction power analysis. Residues mutated in CFTR disease cases are shown in ...
<p>The prediction performance of the proposed method based on NO. DC00004966 detector’s data: (a) Cu...
<p>The prediction performance of the proposed method based on NO. DC00004965 detector’s data: (a) Cu...
<p>Predictions were performed by a logistic regression, a <i>K</i>-NN algorithm (<i>standalone CBR</...
<p>Performance of Predictions for Dataset T at Various Decision Thresholds of the Probability Score....
<p>Prediction measures for the classifier at k = 5 built by SSVM and LLR: true positive rate (TPR), ...
<p><b>(A)</b> AUC of the three algorithms. AUC measures the area under the ROC curves. <b>(B)</b> Pe...
Performance metrics (r2, AUC) and their standard deviations are computed on an independent test set....
<p>Performance of the individual coreceptor prediction methods (A) and their selected combinations (...
<p>Prediction performance of CoReCo phases I and II, naive Bayesian classifier and individual BLAST ...
<p>Comparison of various prediction methods in terms of the area under the ROC curve (AUC).</p
<p>Four sets of boxplots represent predictive performance measured in Area under the ROC curve (AUC)...
<p>(A), CLF; (B), MF; (C), PF; (D), CF and (E), CRYS class. PredPPCrys-I denotes the first-level pre...
The predictive performance results comparison for MCC, AUC PRC and AUC ROC for all investigated clas...
<p>(A) Cross-validation (CV) performance of models trained on all available native IRES sequences sh...
<p>(A) Scheme of the prediction power analysis. Residues mutated in CFTR disease cases are shown in ...
<p>The prediction performance of the proposed method based on NO. DC00004966 detector’s data: (a) Cu...
<p>The prediction performance of the proposed method based on NO. DC00004965 detector’s data: (a) Cu...
<p>Predictions were performed by a logistic regression, a <i>K</i>-NN algorithm (<i>standalone CBR</...
<p>Performance of Predictions for Dataset T at Various Decision Thresholds of the Probability Score....
<p>Prediction measures for the classifier at k = 5 built by SSVM and LLR: true positive rate (TPR), ...
<p><b>(A)</b> AUC of the three algorithms. AUC measures the area under the ROC curves. <b>(B)</b> Pe...
Performance metrics (r2, AUC) and their standard deviations are computed on an independent test set....