ROC curves for PremPDI, mCSM-NA and SAMPDI methods applied on different training and test set. More information is shown in Table 3.</p
(A). ROC analysis comparing all listed methods for the same set of truth gene lists that were shared...
<p>In blue, performances for linear support machines using the combined subset classifier approach (...
<p>(<b>A</b>) The grouped bar plots depict the area under the ROC curves obtained for novel and know...
Pearson correlation coefficients between experimental and calculated changes in binding free energie...
This dataset is composed of 990 single-point mutations with measured changes in their minimum inhibi...
(A) Receiver Operating Characteristic (ROC) curve for each cancer type versus the rest. Area under t...
Receiver Operating Characteristic (ROC) curves for discriminating each tumor subtype and/or anatomic...
<p>ROC-curves of composition-based classifiers using the codon sequence (), the signal peptide seque...
<p>ROC Curve of different classification methods (SVM only, GA+SVM, GA+SVM+Post Spike Matching).</p
<p>Each point in the ROC curve is obtained by choosing a different threshold for calling differentia...
Proceedings of: GECCO 2013: 15th International Conference on Genetic and Evolutionary Computation Co...
<p>M1, M2, and M3 denote the proposed method, Toews' method, and the proposed method without the sec...
ROC curves displaying the diagnostic performance for MD, MK, and MD-MK in assessing different levels...
<p>(A) ROC curve intersected by the dashed line used to select the classificaction threshold. (B) Tr...
<p>ROC curves for classification of MCI individuals using the resting-state fMRI.</p
(A). ROC analysis comparing all listed methods for the same set of truth gene lists that were shared...
<p>In blue, performances for linear support machines using the combined subset classifier approach (...
<p>(<b>A</b>) The grouped bar plots depict the area under the ROC curves obtained for novel and know...
Pearson correlation coefficients between experimental and calculated changes in binding free energie...
This dataset is composed of 990 single-point mutations with measured changes in their minimum inhibi...
(A) Receiver Operating Characteristic (ROC) curve for each cancer type versus the rest. Area under t...
Receiver Operating Characteristic (ROC) curves for discriminating each tumor subtype and/or anatomic...
<p>ROC-curves of composition-based classifiers using the codon sequence (), the signal peptide seque...
<p>ROC Curve of different classification methods (SVM only, GA+SVM, GA+SVM+Post Spike Matching).</p
<p>Each point in the ROC curve is obtained by choosing a different threshold for calling differentia...
Proceedings of: GECCO 2013: 15th International Conference on Genetic and Evolutionary Computation Co...
<p>M1, M2, and M3 denote the proposed method, Toews' method, and the proposed method without the sec...
ROC curves displaying the diagnostic performance for MD, MK, and MD-MK in assessing different levels...
<p>(A) ROC curve intersected by the dashed line used to select the classificaction threshold. (B) Tr...
<p>ROC curves for classification of MCI individuals using the resting-state fMRI.</p
(A). ROC analysis comparing all listed methods for the same set of truth gene lists that were shared...
<p>In blue, performances for linear support machines using the combined subset classifier approach (...
<p>(<b>A</b>) The grouped bar plots depict the area under the ROC curves obtained for novel and know...
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