geneSubsets-class |
geneSubsets: A class to handle the sizes of gene susbets to be tested during forward gene selection |
getClassifierName |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getClassifierName-method |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getClassifierName<- |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getClassifierName<--method |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getDataset |
getDataset Method to access the attributes of a dataset from an assessment |
getDataset-method |
getDataset Method to access the attributes of a dataset from an assessment |
getDataset-methods |
getDataset Method to access the attributes of a dataset from an assessment |
getDataset<- |
getDataset<- Method to modify the attributes of a dataset from an assessment |
getDataset<--method |
getDataset<- Method to modify the attributes of a dataset from an assessment |
getDataset<--methods |
getDataset<- Method to modify the attributes of a dataset from an assessment |
getFeatureSelectionMethod-method |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getFeatureSelectionOptions |
getFeatureSelectionOptions Method to access the attributes of a featureSelectionOptions from an assessment |
getFeatureSelectionOptions-method |
getFeatureSelectionOptions Method to access the attributes of a featureSelectionOptions from an assessment |
getFeatureSelectionOptions-methods |
getFeatureSelectionOptions Method to access the attributes of a featureSelectionOptions from an assessment |
getFeatureSelectionOptions<- |
getFeatureSelectionOptions<- Method to modify the attributes of a featureSelectionOptions from an assessment |
getFeatureSelectionOptions<--method |
getFeatureSelectionOptions<- Method to modify the attributes of a featureSelectionOptions from an assessment |
getFeatureSelectionOptions<--methods |
getFeatureSelectionOptions<- Method to modify the attributes of a featureSelectionOptions from an assessment |
getFinalClassifier |
getFinalClassifier Method to access the attributes of a finalClassifier from an assessment |
getFinalClassifier-method |
getFinalClassifier Method to access the attributes of a finalClassifier from an assessment |
getFinalClassifier-methods |
getFinalClassifier Method to access the attributes of a finalClassifier from an assessment |
getGenesFromBestToWorst |
finalClassifier: A class to store the final classifier corresponding to an assessment |
getGenesFromBestToWorst-method |
finalClassifier: A class to store the final classifier corresponding to an assessment |
getMaxSubsetSize |
geneSubsets: A class to handle the sizes of gene susbets to be tested during forward gene selection |
getMaxSubsetSize-method |
geneSubsets: A class to handle the sizes of gene susbets to be tested during forward gene selection |
getMaxSubsetSize<- |
geneSubsets: A class to handle the sizes of gene susbets to be tested during forward gene selection |
getMaxSubsetSize<--method |
geneSubsets: A class to handle the sizes of gene susbets to be tested during forward gene selection |
getModels |
finalClassifier: A class to store the final classifier corresponding to an assessment |
getModels-method |
finalClassifier: A class to store the final classifier corresponding to an assessment |
getNoFolds1stLayer |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getNoFolds1stLayer-method |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getNoFolds1stLayer<- |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getNoFolds1stLayer<--method |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getNoFolds2ndLayer |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getNoFolds2ndLayer-method |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getNoFolds2ndLayer<- |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getNoFolds2ndLayer<--method |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getNoModels |
geneSubsets: A class to handle the sizes of gene susbets to be tested during forward gene selection |
getNoModels-method |
geneSubsets: A class to handle the sizes of gene susbets to be tested during forward gene selection |
getNoOfRepeats |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getNoOfRepeats-method |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getNoOfRepeats<- |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getNoOfRepeats<--method |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getNoThresholds |
thresholds: A class to handle the thresholds to be tested during training of the Nearest Shrunken Centroid |
getNoThresholds-method |
thresholds: A class to handle the thresholds to be tested during training of the Nearest Shrunken Centroid |
getNoThresholds<- |
thresholds: A class to handle the thresholds to be tested during training of the Nearest Shrunken Centroid |
getNoThresholds<--method |
thresholds: A class to handle the thresholds to be tested during training of the Nearest Shrunken Centroid |
getOptionValues |
thresholds: A class to handle the thresholds to be tested during training of the Nearest Shrunken Centroid |
getOptionValues-method |
"featureSelectionOptions": A virtual class to store the options of a feature selection |
getOptionValues-method |
thresholds: A class to handle the thresholds to be tested during training of the Nearest Shrunken Centroid |
getOptionValues<- |
thresholds: A class to handle the thresholds to be tested during training of the Nearest Shrunken Centroid |
getOptionValues<--method |
thresholds: A class to handle the thresholds to be tested during training of the Nearest Shrunken Centroid |
getResult1LayerCV |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getResult1LayerCV-method |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getResult1LayerCV<- |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getResult1LayerCV<--method |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getResult2LayerCV |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getResult2LayerCV-method |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getResult2LayerCV<- |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getResult2LayerCV<--method |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getResults |
getResults Method to access the result of one-layer and two-layers cross-validation from an assessment |
getResults-method |
getResults Method to access the result of one-layer and two-layers cross-validation from an assessment |
getResults-methods |
getResults Method to access the result of one-layer and two-layers cross-validation from an assessment |
getSpeed |
geneSubsets: A class to handle the sizes of gene susbets to be tested during forward gene selection |
getSpeed-method |
geneSubsets: A class to handle the sizes of gene susbets to be tested during forward gene selection |
getSpeed<- |
geneSubsets: A class to handle the sizes of gene susbets to be tested during forward gene selection |
getSpeed<--method |
geneSubsets: A class to handle the sizes of gene susbets to be tested during forward gene selection |
getSubsetsSizes |
geneSubsets: A class to handle the sizes of gene susbets to be tested during forward gene selection |
getSubsetsSizes-method |
geneSubsets: A class to handle the sizes of gene susbets to be tested during forward gene selection |
getSubsetsSizes<- |
geneSubsets: A class to handle the sizes of gene susbets to be tested during forward gene selection |
getSubsetsSizes<--method |
geneSubsets: A class to handle the sizes of gene susbets to be tested during forward gene selection |
getSvmKernel |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getSvmKernel-method |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getSvmKernel<- |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getSvmKernel<--method |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getTypeFoldCreation |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getTypeFoldCreation-method |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getTypeFoldCreation<- |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |
getTypeFoldCreation<--method |
assessment: A central class to perform one and two layers of external cross-validation on microarray data |