assessment-class | assessment: A central class to perform one and two layers of external |
classifyNewSamples | classifyNewSamples Method to classify new samples for a given |
classifyNewSamples-method | classifyNewSamples Method to classify new samples for a given |
classifyNewSamples-methods | classifyNewSamples Method to classify new samples for a given |
featureSelectionOptions-class | "featureSelectionOptions": A virtual class to store the options of a |
finalClassifier-class | finalClassifier: A class to store the final classifier corresponding to |
findFinalClassifier | findFinalClassifier Method to train and build the final classifier |
findFinalClassifier-method | findFinalClassifier Method to train and build the final classifier |
findFinalClassifier-methods | findFinalClassifier Method to train and build the final classifier |
geneSubsets-class | geneSubsets: A class to handle the sizes of gene susbets to be tested |
getClassifierName | assessment: A central class to perform one and two layers of external |
getClassifierName-method | assessment: A central class to perform one and two layers of external |
getClassifierName<- | assessment: A central class to perform one and two layers of external |
getClassifierName<--method | assessment: A central class to perform one and two layers of external |
getDataset | getDataset Method to access the attributes of a dataset from an |
getDataset-method | getDataset Method to access the attributes of a dataset from an |
getDataset-methods | getDataset Method to access the attributes of a dataset from an |
getDataset<- | getDataset<- Method to modify the attributes of a dataset from an |
getDataset<--method | getDataset<- Method to modify the attributes of a dataset from an |
getDataset<--methods | getDataset<- Method to modify the attributes of a dataset from an |
getFeatureSelectionMethod-method | assessment: A central class to perform one and two layers of external |
getFeatureSelectionOptions | getFeatureSelectionOptions Method to access the attributes of a |
getFeatureSelectionOptions-method | getFeatureSelectionOptions Method to access the attributes of a |
getFeatureSelectionOptions-methods | getFeatureSelectionOptions Method to access the attributes of a |
getFeatureSelectionOptions<- | getFeatureSelectionOptions<- Method to modify the attributes of a |
getFeatureSelectionOptions<--method | getFeatureSelectionOptions<- Method to modify the attributes of a |
getFeatureSelectionOptions<--methods | getFeatureSelectionOptions<- Method to modify the attributes of a |
getFinalClassifier | getFinalClassifier Method to access the attributes of a finalClassifier |
getFinalClassifier-method | getFinalClassifier Method to access the attributes of a finalClassifier |
getFinalClassifier-methods | getFinalClassifier Method to access the attributes of a finalClassifier |
getGenesFromBestToWorst | finalClassifier: A class to store the final classifier corresponding to |
getGenesFromBestToWorst-method | finalClassifier: A class to store the final classifier corresponding to |
getMaxSubsetSize | geneSubsets: A class to handle the sizes of gene susbets to be tested |
getMaxSubsetSize-method | geneSubsets: A class to handle the sizes of gene susbets to be tested |
getMaxSubsetSize<- | geneSubsets: A class to handle the sizes of gene susbets to be tested |
getMaxSubsetSize<--method | geneSubsets: A class to handle the sizes of gene susbets to be tested |
getModels | finalClassifier: A class to store the final classifier corresponding to |
getModels-method | finalClassifier: A class to store the final classifier corresponding to |
getNoFolds1stLayer | assessment: A central class to perform one and two layers of external |
getNoFolds1stLayer-method | assessment: A central class to perform one and two layers of external |
getNoFolds1stLayer<- | assessment: A central class to perform one and two layers of external |
getNoFolds1stLayer<--method | assessment: A central class to perform one and two layers of external |
getNoFolds2ndLayer | assessment: A central class to perform one and two layers of external |
getNoFolds2ndLayer-method | assessment: A central class to perform one and two layers of external |
getNoFolds2ndLayer<- | assessment: A central class to perform one and two layers of external |
getNoFolds2ndLayer<--method | assessment: A central class to perform one and two layers of external |
getNoModels | geneSubsets: A class to handle the sizes of gene susbets to be tested |
getNoModels-method | geneSubsets: A class to handle the sizes of gene susbets to be tested |
getNoOfRepeats | assessment: A central class to perform one and two layers of external |
getNoOfRepeats-method | assessment: A central class to perform one and two layers of external |
getNoOfRepeats<- | assessment: A central class to perform one and two layers of external |
getNoOfRepeats<--method | assessment: A central class to perform one and two layers of external |
getNoThresholds | thresholds: A class to handle the thresholds to be tested during |
getNoThresholds-method | thresholds: A class to handle the thresholds to be tested during |
getNoThresholds<- | thresholds: A class to handle the thresholds to be tested during |
getNoThresholds<--method | thresholds: A class to handle the thresholds to be tested during |
getOptionValues | thresholds: A class to handle the thresholds to be tested during |
getOptionValues-method | "featureSelectionOptions": A virtual class to store the options of a |
getOptionValues-method | thresholds: A class to handle the thresholds to be tested during |
getOptionValues<- | thresholds: A class to handle the thresholds to be tested during |
getOptionValues<--method | thresholds: A class to handle the thresholds to be tested during |
getResult1LayerCV | assessment: A central class to perform one and two layers of external |
getResult1LayerCV-method | assessment: A central class to perform one and two layers of external |
getResult1LayerCV<- | assessment: A central class to perform one and two layers of external |
getResult1LayerCV<--method | assessment: A central class to perform one and two layers of external |
getResult2LayerCV | assessment: A central class to perform one and two layers of external |
getResult2LayerCV-method | assessment: A central class to perform one and two layers of external |
getResult2LayerCV<- | assessment: A central class to perform one and two layers of external |
getResult2LayerCV<--method | assessment: A central class to perform one and two layers of external |
getResults | getResults Method to access the result of one-layer and two-layers |
getResults-method | getResults Method to access the result of one-layer and two-layers |
getResults-methods | getResults Method to access the result of one-layer and two-layers |
getSpeed | geneSubsets: A class to handle the sizes of gene susbets to be tested |
getSpeed-method | geneSubsets: A class to handle the sizes of gene susbets to be tested |
getSpeed<- | geneSubsets: A class to handle the sizes of gene susbets to be tested |
getSpeed<--method | geneSubsets: A class to handle the sizes of gene susbets to be tested |
getSubsetsSizes | geneSubsets: A class to handle the sizes of gene susbets to be tested |
getSubsetsSizes-method | geneSubsets: A class to handle the sizes of gene susbets to be tested |
getSubsetsSizes<- | geneSubsets: A class to handle the sizes of gene susbets to be tested |
getSubsetsSizes<--method | geneSubsets: A class to handle the sizes of gene susbets to be tested |
getSvmKernel | assessment: A central class to perform one and two layers of external |
getSvmKernel-method | assessment: A central class to perform one and two layers of external |
getSvmKernel<- | assessment: A central class to perform one and two layers of external |
getSvmKernel<--method | assessment: A central class to perform one and two layers of external |
getTypeFoldCreation | assessment: A central class to perform one and two layers of external |
getTypeFoldCreation-method | assessment: A central class to perform one and two layers of external |
getTypeFoldCreation<- | assessment: A central class to perform one and two layers of external |
getTypeFoldCreation<--method | assessment: A central class to perform one and two layers of external |
initialize-method | Initialize objects of class from Rmagpie |
plotErrorsFoldTwoLayerCV | plotErrorsFoldTwoLayerCV Method to plot the error rate of a two-layer |
plotErrorsFoldTwoLayerCV-method | plotErrorsFoldTwoLayerCV Method to plot the error rate of a two-layer |
plotErrorsFoldTwoLayerCV-methods | plotErrorsFoldTwoLayerCV Method to plot the error rate of a two-layer |
plotErrorsRepeatedOneLayerCV | plotErrorsRepeatedOneLayerCV Method to plot the estimated error rates |
plotErrorsRepeatedOneLayerCV-method | plotErrorsRepeatedOneLayerCV Method to plot the estimated error rates |
plotErrorsRepeatedOneLayerCV-methods | plotErrorsRepeatedOneLayerCV Method to plot the estimated error rates |
plotErrorsSummaryOneLayerCV | plotErrorsSummaryOneLayerCV Method to plot the summary estimated error |
plotErrorsSummaryOneLayerCV-method | plotErrorsSummaryOneLayerCV Method to plot the summary estimated error |
plotErrorsSummaryOneLayerCV-methods | plotErrorsSummaryOneLayerCV Method to plot the summary estimated error |
rankedGenesImg | rankedGenesImg Method to plot the genes according to their frequency in |
rankedGenesImg-method | rankedGenesImg Method to plot the genes according to their frequency in |
rankedGenesImg-methods | rankedGenesImg Method to plot the genes according to their frequency in |
runOneLayerExtCV | runOneLayerExtCV: Method to run an external one-layer cross-validation |
runOneLayerExtCV-method | runOneLayerExtCV: Method to run an external one-layer cross-validation |
runOneLayerExtCV-methods | runOneLayerExtCV: Method to run an external one-layer cross-validation |
runTwoLayerExtCV | runTwoLayerExtCV: Method to run an external two-layers cross-validation |
runTwoLayerExtCV-method | runTwoLayerExtCV: Method to run an external two-layers cross-validation |
runTwoLayerExtCV-methods | runTwoLayerExtCV: Method to run an external two-layers cross-validation |
show-method | show Display the object, by printing, plotting or whatever suits its |
thresholds-class | thresholds: A class to handle the thresholds to be tested during |
vV70genes | vV70genes: van't Veer et al. 70 best genes in an object of class |