<p>Validation of the three selected secondary data sources and the best performing combination rules on six new microarray data sets, referred to as V1 to V6. Per validation data set, five bars with the average test AUC under best training are shown: 1) mean AUC of the baseline model (blue); 2) mean AUC for the best individual secondary data source (KEGG, OPHID or microRNA.org) (cyan); 3) mean AUC for the fixed mean rule (green); 4) mean AUC for the weighted combination rule (orange); 5) mean AUC for the naïve Bayes rule (brown). A numerical overview is given in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0010225#pone-0010225-t006" target="_blank">Table 6</a>.</p
<p>X-axis shows the number of used features and Y-axis shows average values of the training accuracy...
In microarray experiments, several steps may cause sub-optimal quality and the need for quality cont...
<p><b>Copyright information:</b></p><p>Taken from "Stratification bias in low signal microarray stud...
<p>Average test AUC values under best training for classifiers or combined classifiers, each built o...
<p>Influence of secondary data sources and classifier combination on classification performance. The...
<p>°one-sided paired-sampled t-test for the comparison with respect to the baseline model.</p
<p>§secondary data source or combination rule with the best performance (W = weighting according to ...
Set, with varying AUC, , , and number of DE genes. (A) 10% of genes are considered DE; (B) 20% of ge...
Abstract Background Genomic biomarkers play an increasing role in both preclinical and clinical appl...
<p>Comparison of AUC accuracies on the four microarray datasets estimated using the 0.632+ bootstrap...
<p>Each row represents a phenotype predicted with AUC>0.7 by genome sequence (<a href="http://www.pl...
<p>For each combination of feature extraction method and secondary data source and each pair of data...
<p>(A) ROC curves based on the three orthogonal ontologies of GO. The maximum AUC score was 0.71 whe...
<p>Review of probeset numbers for hypothesis discovery and hypothesis validation data sets. Note tha...
<p>The AUC and AUPR values of the five methods for the four types of proteins in each validation set...
<p>X-axis shows the number of used features and Y-axis shows average values of the training accuracy...
In microarray experiments, several steps may cause sub-optimal quality and the need for quality cont...
<p><b>Copyright information:</b></p><p>Taken from "Stratification bias in low signal microarray stud...
<p>Average test AUC values under best training for classifiers or combined classifiers, each built o...
<p>Influence of secondary data sources and classifier combination on classification performance. The...
<p>°one-sided paired-sampled t-test for the comparison with respect to the baseline model.</p
<p>§secondary data source or combination rule with the best performance (W = weighting according to ...
Set, with varying AUC, , , and number of DE genes. (A) 10% of genes are considered DE; (B) 20% of ge...
Abstract Background Genomic biomarkers play an increasing role in both preclinical and clinical appl...
<p>Comparison of AUC accuracies on the four microarray datasets estimated using the 0.632+ bootstrap...
<p>Each row represents a phenotype predicted with AUC>0.7 by genome sequence (<a href="http://www.pl...
<p>For each combination of feature extraction method and secondary data source and each pair of data...
<p>(A) ROC curves based on the three orthogonal ontologies of GO. The maximum AUC score was 0.71 whe...
<p>Review of probeset numbers for hypothesis discovery and hypothesis validation data sets. Note tha...
<p>The AUC and AUPR values of the five methods for the four types of proteins in each validation set...
<p>X-axis shows the number of used features and Y-axis shows average values of the training accuracy...
In microarray experiments, several steps may cause sub-optimal quality and the need for quality cont...
<p><b>Copyright information:</b></p><p>Taken from "Stratification bias in low signal microarray stud...