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
ExprsPipeline-class     An S4 class to store models built during
                        high-throughput learning
ExprsPredict-class      An S4 class to store class predictions
GSE2eSet                Convert GSE to eSet
array                   Sample ExprsBinary Data
arrayExprs              Import Data as ExprsArray
arrayMulti              Sample ExprsMulti Data
build                   Build Classifiers
build.                  Workhorse for build Methods
buildEnsemble           Build Ensemble
calcMonteCarlo          Calculate 'plMonteCarlo' Performance
calcNested              Calculate 'plNested' Performance
calcStats               Calculate Classifier Performance
check.ctrlGS            Check 'ctrlGS' Arguments
compare                 Compare 'ExprsArray' Objects
conjoin                 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
exprso-predict          Predict Class Labels
forceArg                Force an args List Element to Value
fs                      Perform Feature Selection
fs.                     Workhorse for fs Methods
getArgs                 Build an args List
getFeatures             Retrieve Feature Set
makeGridFromArgs        Build Argument Grid
modCluster              Cluster Subjects
modFilter               Hard Filter Data
modHistory              Duplicate Feature Selection History
modNormalize            Normalize Data
modSubset               Tidy Subset Wrapper
modSwap                 Swap Case Subjects
modTransform            Log Transform Data
pipeFilter              Filter 'ExprsPipeline' Object
pipeUnboot              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
reRank                  Serialize "1 vs. all" Feature Selection
split                   split 'ExprsArray' objects
trainingSet             Extract Training Set
validationSet           Extract Validation Set
