a:<p>ten-fold cross-validation of 3845 entries.</p>b:<p>independent test (1508 entries) by training on the entire S3845.</p>c:<p>sequences inS1508.</p
<p>For each method, the accuracy, the sensitivity, the specificity and the Matthews correlation coef...
<p>Each cell except Avg. shows the CC or the <b><i>nRMSE</i></b> (mean ± STD) of 24 trials. Bold num...
<p>10% of the data were defined as test dataset (TestData1) while the remaining 90% (TrainingData1) ...
<p>Prediction performance of 10-fold cross-validation based on different encoding methods.</p
<p>(A) Cross-validation (CV) performance of models trained on all available native IRES sequences sh...
<p>The prediction performance of the final model using 18 features, by 10-fold cross validation.</p
<p>The prediction results compared with other methods on the training dataset using 10-fold cross-va...
<p>The experiment was conducted 10 times using 10-fold cross-validation performed on the training se...
<p>Performance on the benchmark training dataset was evaluated based on AUC, MCC, Accuracy, Specific...
*<p>The latter number represents standard deviation from 10 training set;</p>**<p>the lower right co...
<p>Performance comparison among various types of sequence features and methods for the across-germli...
<p>Results show the mean accuracy (upper plot) and proportion of significant results (bottom plot) o...
<p>Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...
Accuracy measures for 10-fold cross-validation of Model 1 using the entire feature set for predictio...
<p>The prediction accuracy based on sequence length shows a similar trend observed when all of the c...
<p>For each method, the accuracy, the sensitivity, the specificity and the Matthews correlation coef...
<p>Each cell except Avg. shows the CC or the <b><i>nRMSE</i></b> (mean ± STD) of 24 trials. Bold num...
<p>10% of the data were defined as test dataset (TestData1) while the remaining 90% (TrainingData1) ...
<p>Prediction performance of 10-fold cross-validation based on different encoding methods.</p
<p>(A) Cross-validation (CV) performance of models trained on all available native IRES sequences sh...
<p>The prediction performance of the final model using 18 features, by 10-fold cross validation.</p
<p>The prediction results compared with other methods on the training dataset using 10-fold cross-va...
<p>The experiment was conducted 10 times using 10-fold cross-validation performed on the training se...
<p>Performance on the benchmark training dataset was evaluated based on AUC, MCC, Accuracy, Specific...
*<p>The latter number represents standard deviation from 10 training set;</p>**<p>the lower right co...
<p>Performance comparison among various types of sequence features and methods for the across-germli...
<p>Results show the mean accuracy (upper plot) and proportion of significant results (bottom plot) o...
<p>Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...
Accuracy measures for 10-fold cross-validation of Model 1 using the entire feature set for predictio...
<p>The prediction accuracy based on sequence length shows a similar trend observed when all of the c...
<p>For each method, the accuracy, the sensitivity, the specificity and the Matthews correlation coef...
<p>Each cell except Avg. shows the CC or the <b><i>nRMSE</i></b> (mean ± STD) of 24 trials. Bold num...
<p>10% of the data were defined as test dataset (TestData1) while the remaining 90% (TrainingData1) ...
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