<p>The bar charts show the average AUCs for different classification methods. Five pathway-based methods that use distinct pathway activity inference schemes (LLR, CORG, PCA, mean, and median) and a gene-based method were compared. (A) Classifiers were constructed based on logistic regression. Results of within-dataset experiments based on the USA and Netherlands datasets are shown in the two charts on the left. The two charts on the right show the results of the cross-dataset experiments. (B) The performance of different classification methods based on LDA (linear discriminant analysis).</p
<p>For each predictor, the AUC obtained in the training and validation sets, as well as the 95% Conf...
Abstract Background Researchers have previously developed a multitude of methods designed to identif...
<p><b>A</b> AUC. <b>B</b> Accuracy. Performances are visualized for all 190 evenly distributed in si...
<p>The bar charts show the average AUCs of within-dataset experiments for five pathway-based methods...
This research uses four classification algorithms in standard and boosted forms to predict members o...
In this paper we show the results of a comparison simulation study for three classification techniqu...
We analyzed the performance of LDA, Quadratic Discriminant Analysis (QDA), K-Nearest Neighbours (KNN...
<p>(A) Mean absolute -score of the top markers for the Netherlands breast cancer dataset. Pathway a...
This study compares the classification accuracy of linear discriminant analysis (LDA), quadratic dis...
<p>The table shows the median classifier performance (AUC) of the classification problems considerin...
<p>Comparisons of the classification performance of classic GS and MiNeGS approaches, using ROC AUC ...
<p>Performance, expressed in percentages, of the four approaches presented in this study. NB1 and LR...
Traditional measures for assessing the performance of classification models for binary outcomes are ...
<p>Influence of secondary data sources and classifier combination on classification performance. The...
This research uses four classification algorithms in standard and boosted forms to predict members o...
<p>For each predictor, the AUC obtained in the training and validation sets, as well as the 95% Conf...
Abstract Background Researchers have previously developed a multitude of methods designed to identif...
<p><b>A</b> AUC. <b>B</b> Accuracy. Performances are visualized for all 190 evenly distributed in si...
<p>The bar charts show the average AUCs of within-dataset experiments for five pathway-based methods...
This research uses four classification algorithms in standard and boosted forms to predict members o...
In this paper we show the results of a comparison simulation study for three classification techniqu...
We analyzed the performance of LDA, Quadratic Discriminant Analysis (QDA), K-Nearest Neighbours (KNN...
<p>(A) Mean absolute -score of the top markers for the Netherlands breast cancer dataset. Pathway a...
This study compares the classification accuracy of linear discriminant analysis (LDA), quadratic dis...
<p>The table shows the median classifier performance (AUC) of the classification problems considerin...
<p>Comparisons of the classification performance of classic GS and MiNeGS approaches, using ROC AUC ...
<p>Performance, expressed in percentages, of the four approaches presented in this study. NB1 and LR...
Traditional measures for assessing the performance of classification models for binary outcomes are ...
<p>Influence of secondary data sources and classifier combination on classification performance. The...
This research uses four classification algorithms in standard and boosted forms to predict members o...
<p>For each predictor, the AUC obtained in the training and validation sets, as well as the 95% Conf...
Abstract Background Researchers have previously developed a multitude of methods designed to identif...
<p><b>A</b> AUC. <b>B</b> Accuracy. Performances are visualized for all 190 evenly distributed in si...