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