Results obtained by reanalyzing real microarray datasets (1 table). The table in the Additional file reports the performance measures (predictive accuracy - PA, predictive accuracy for class 1 - PA1, predictive accuracy for class 2 - PA2, g-means and AUC) for different ensemble classifiers and datasets/prediction tasks; darker shading denotes better performance in terms of the relevant accuracy measure. (PDF 111 kb
Additional file 2: Fig. S2. The comparison of the accuracy of wmssBLUP and GBLUP in different popula...
(a) and (b) show the box plot of the five-class classification accuracy with RF and SVM, respectivel...
Microarrays are novel biotechnological technology that is being used widely in cancer research. By a...
Simulation results obtained on simulated data (4 tables). In the Additional file we report the accur...
Table S1. Optimization of hyperparameters of DeepM6ASeq. Table S2. Hyperparameter optimization for o...
Motivation: Microarray experiments are expected to contribute significantly to the progress in cance...
Resubstitution error rate of CART and decision stumps (1 table). In the Additional file we report th...
Machine learning and statistical model based classifiers have increasingly been used with more compl...
Machine learning and statistical model based classifiers have increasingly been used with more compl...
Test set error as a function of the number of boosting iterations for different gradient boosting al...
<p>Influence of secondary data sources and classifier combination on classification performance. The...
Additional file 1. Simulated (animal breeding) dataset. Includes four txt files: one for the groupin...
For the last few years, microarray-based class prediction has been a major topic in statistics and m...
Motivation: In the context of clinical bioinformatics methods are needed for assessing the additiona...
High-throughput microarray technology has been widely applied in biological and medical decision-mak...
Additional file 2: Fig. S2. The comparison of the accuracy of wmssBLUP and GBLUP in different popula...
(a) and (b) show the box plot of the five-class classification accuracy with RF and SVM, respectivel...
Microarrays are novel biotechnological technology that is being used widely in cancer research. By a...
Simulation results obtained on simulated data (4 tables). In the Additional file we report the accur...
Table S1. Optimization of hyperparameters of DeepM6ASeq. Table S2. Hyperparameter optimization for o...
Motivation: Microarray experiments are expected to contribute significantly to the progress in cance...
Resubstitution error rate of CART and decision stumps (1 table). In the Additional file we report th...
Machine learning and statistical model based classifiers have increasingly been used with more compl...
Machine learning and statistical model based classifiers have increasingly been used with more compl...
Test set error as a function of the number of boosting iterations for different gradient boosting al...
<p>Influence of secondary data sources and classifier combination on classification performance. The...
Additional file 1. Simulated (animal breeding) dataset. Includes four txt files: one for the groupin...
For the last few years, microarray-based class prediction has been a major topic in statistics and m...
Motivation: In the context of clinical bioinformatics methods are needed for assessing the additiona...
High-throughput microarray technology has been widely applied in biological and medical decision-mak...
Additional file 2: Fig. S2. The comparison of the accuracy of wmssBLUP and GBLUP in different popula...
(a) and (b) show the box plot of the five-class classification accuracy with RF and SVM, respectivel...
Microarrays are novel biotechnological technology that is being used widely in cancer research. By a...