GenRegRes-class         Class '"GenRegRes"'
MLearn,formula,MSnSet,learnerSchema,numeric-method
                        The 'MLearn' interface for machine learning
addLegend               Adds a legend
addMarkers              Adds markers to the data
chi2-methods            The PCP 'chi square' method
empPvalues              Estimate empirical p-values for Chi^2 protein
                        correlations.
exprsToRatios-methods   Calculate all ratio pairs
getMarkers              Returns the organelle markers in an 'MSnSet'
getPredictions          Returns the predictions in an 'MSnSet'
getStockcol             Manage default colours and point characters
knnClassification       knn classification
knnOptimisation         knn parameter optimisation
ksvmClassification      ksvm classification
ksvmOptimisation        ksvm parameter optimisation
makeNaData              Create a data with missing values
minClassScore           Updates classes based on prediction scores
minMarkers              Creates a reduced marker variable
nbClassification        nb classification
nbOptimisation          nb paramter optimisation
nnetClassification      nnet classification
nnetOptimisation        nnet parameter optimisation
perTurboClassification
                        perTurbo classification
perTurboOptimisation    PerTurbo parameter optimisation
phenoDisco              Runs the 'phenoDisco' algorithm.
plot2D                  Plot organelle assignment data and results.
plotDist                Plots the distribution of features across
                        fractions
plsdaClassification     plsda classification
plsdaOptimisation       plsda parameter optimisation
rfClassification        rf classification
rfOptimisation          svm parameter optimisation
svmClassification       ksvm classification
svmOptimisation         svm parameter optimisation
