<p>Performance comparison among various types of sequence features and methods for the within-germline prediction in terms of Jackknife test accuracy.</p
<p>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
<p>Comparison of prediction accuracy on four binary classification datasets by varying the number of...
<p>A comparison of the training performance, test accuracy, and uncertainty among classifiers in var...
<p>Performance comparison among various types of sequence features and methods for the novel-germlin...
<p>Performance comparison among various types of sequence features and methods for the across-germli...
<p>Comparison of the jackknife test results between our method and other competing structural class ...
<p>The performance of different features on PDB1075 dataset (Jackknife test evaluation).</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>The performance comparison of TempSeq-Net model for prediction with different sequence lengths.</...
<p>Performance of different feature combinations for disease detection and quantification.</p
Performance comparison of various feature sets for classification of essential genes.</p
<p>Jackknife tests (%) and the mean feature numbers of the SVM-based predictors for 30 samples.</p
<p>The performance comparison of the models trained with different sequence lengths.</p
<p>Comparison results by a jackknife methodology among LIDC and nine other prediction measures in th...
<p>(a) Gene-profile accuracy as a function of . (b) Gene-profile accuracy for each time point.</p
<p>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
<p>Comparison of prediction accuracy on four binary classification datasets by varying the number of...
<p>A comparison of the training performance, test accuracy, and uncertainty among classifiers in var...
<p>Performance comparison among various types of sequence features and methods for the novel-germlin...
<p>Performance comparison among various types of sequence features and methods for the across-germli...
<p>Comparison of the jackknife test results between our method and other competing structural class ...
<p>The performance of different features on PDB1075 dataset (Jackknife test evaluation).</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>The performance comparison of TempSeq-Net model for prediction with different sequence lengths.</...
<p>Performance of different feature combinations for disease detection and quantification.</p
Performance comparison of various feature sets for classification of essential genes.</p
<p>Jackknife tests (%) and the mean feature numbers of the SVM-based predictors for 30 samples.</p
<p>The performance comparison of the models trained with different sequence lengths.</p
<p>Comparison results by a jackknife methodology among LIDC and nine other prediction measures in th...
<p>(a) Gene-profile accuracy as a function of . (b) Gene-profile accuracy for each time point.</p
<p>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
<p>Comparison of prediction accuracy on four binary classification datasets by varying the number of...
<p>A comparison of the training performance, test accuracy, and uncertainty among classifiers in var...