A B C D E F G M P R S T V misc
array | Sample ExprsBinary Data |
arrayExprs | Import Data as ExprsArray |
arrayMulti | Sample ExprsMulti Data |
build | Build Classifiers |
build. | Workhorse for build Methods |
buildANN | Build Classifiers |
buildANN-method | Build Classifiers |
buildDNN | Build Classifiers |
buildDNN-method | Build Classifiers |
buildEnsemble | Build Ensemble |
buildEnsemble-method | Build Ensemble |
buildLDA | Build Classifiers |
buildLDA-method | Build Classifiers |
buildNB | Build Classifiers |
buildNB-method | Build Classifiers |
buildRF | Build Classifiers |
buildRF-method | Build Classifiers |
buildSVM | Build Classifiers |
buildSVM-method | Build Classifiers |
calcMonteCarlo | Calculate 'plMonteCarlo' Performance |
calcNested | Calculate 'plNested' Performance |
calcStats | Calculate Classifier Performance |
calcStats-method | Calculate Classifier Performance |
check.ctrlGS | Check 'ctrlGS' Arguments |
compare | Compare 'ExprsArray' Objects |
compare-method | Compare 'ExprsArray' Objects |
conjoin | Combine 'exprso' Objects |
conjoin-method | Combine 'exprso' Objects |
ctrlFeatureSelect | Manage 'fs' Arguments |
ctrlGridSearch | Manage 'plGrid' Arguments |
ctrlSplitSet | Manage 'split' Arguments |
defaultArg | Set an args List Element to Default Value |
doMulti | Perform "1 vs. all" Task |
doMulti-method | Perform "1 vs. all" Task |
ExprsArray-class | An S4 class to store feature and annotation data |
ExprsBinary-class | An S4 class to store feature and annotation data |
ExprsEnsemble-class | An S4 class to store multiple classification models |
ExprsMachine-class | An S4 class to store the classification model |
ExprsModel-class | An S4 class to store the classification model |
ExprsModule-class | An S4 class to store the classification model |
ExprsMulti-class | An S4 class to store feature and annotation data |
exprso-predict | Predict Class Labels |
ExprsPipeline-class | An S4 class to store models built during high-throughput learning |
ExprsPredict-class | An S4 class to store class predictions |
forceArg | Force an args List Element to Value |
fs | Perform Feature Selection |
fs. | Workhorse for fs Methods |
fsANOVA | Perform Feature Selection |
fsANOVA-method | Perform Feature Selection |
fsEbayes | Perform Feature Selection |
fsEbayes-method | Perform Feature Selection |
fsInclude | Perform Feature Selection |
fsInclude-method | Perform Feature Selection |
fsMrmre | Perform Feature Selection |
fsMrmre-method | Perform Feature Selection |
fsNULL | Perform Feature Selection |
fsNULL-method | Perform Feature Selection |
fsPathClassRFE | Perform Feature Selection |
fsPathClassRFE-method | Perform Feature Selection |
fsPrcomp | Perform Feature Selection |
fsPrcomp-method | Perform Feature Selection |
fsSample | Perform Feature Selection |
fsSample-method | Perform Feature Selection |
fsStats | Perform Feature Selection |
fsStats-method | Perform Feature Selection |
getArgs | Build an args List |
getFeatures | Retrieve Feature Set |
getFeatures-method | An S4 class to store feature and annotation data |
getFeatures-method | An S4 class to store multiple classification models |
getFeatures-method | An S4 class to store the classification model |
getFeatures-method | An S4 class to store models built during high-throughput learning |
GSE2eSet | Convert GSE to eSet |
makeGridFromArgs | Build Argument Grid |
modCluster | Cluster Subjects |
modCluster-method | Cluster Subjects |
modFilter | Hard Filter Data |
modFilter-method | Hard Filter Data |
modHistory | Duplicate Feature Selection History |
modHistory-method | Duplicate Feature Selection History |
modNormalize | Normalize Data |
modNormalize-method | Normalize Data |
modSubset | Tidy Subset Wrapper |
modSwap | Swap Case Subjects |
modSwap-method | Swap Case Subjects |
modTransform | Log Transform Data |
modTransform-method | Log Transform Data |
pipeFilter | Filter 'ExprsPipeline' Object |
pipeFilter-method | Filter 'ExprsPipeline' Object |
pipeSubset | Tidy Subset Wrapper |
pipeUnboot | Rename "boot" Column |
pipeUnboot-method | Rename "boot" Column |
plCV | Perform Simple Cross-Validation |
plGrid | Perform High-Throughput Classification |
plGridMulti | Perform High-Throughput Classification |
plMonteCarlo | Monte Carlo Cross-Validation |
plNested | Nested Cross-Validation |
plot-method | An S4 class to store feature and annotation data |
predict-method | Predict Class Labels |
reRank | Serialize "1 vs. all" Feature Selection |
show-method | An S4 class to store feature and annotation data |
show-method | An S4 class to store multiple classification models |
show-method | An S4 class to store the classification model |
show-method | An S4 class to store models built during high-throughput learning |
show-method | An S4 class to store class predictions |
split | split 'ExprsArray' objects |
splitSample | split 'ExprsArray' objects |
splitSample-method | split 'ExprsArray' objects |
splitStratify | split 'ExprsArray' objects |
splitStratify-method | split 'ExprsArray' objects |
subset-method | An S4 class to store feature and annotation data |
subset-method | An S4 class to store models built during high-throughput learning |
summary-method | An S4 class to store feature and annotation data |
summary-method | An S4 class to store models built during high-throughput learning |
testSet | Extract Validation Set |
trainingSet | Extract Training Set |
validationSet | Extract Validation Set |
$-method | An S4 class to store feature and annotation data |
$-method | An S4 class to store models built during high-throughput learning |
[-method | An S4 class to store feature and annotation data |
[-method | An S4 class to store models built during high-throughput learning |