A C D E F G H K L M N P R S T U W
| addLegend | Adds a legend |
| addLegend_v1 | Adds a legend |
| addMarkers | Adds markers to the data |
| andy2011params | Class '"AnnotationParams"' |
| AnnotationParams | Class '"AnnotationParams"' |
| AnnotationParams-class | Class '"AnnotationParams"' |
| checkFeatureNamesOverlap | Check feature names overlap |
| checkFvarOverlap | Compare a feature variable overlap |
| chi2 | The PCP 'chi square' method |
| chi2-method | The PCP 'chi square' method |
| chi2-methods | The PCP 'chi square' method |
| class:AnnotationParams | Class '"AnnotationParams"' |
| class:GenRegRes | Class '"GenRegRes"' and '"ThetaRegRes"' |
| class:ThetaRegRes | Class '"GenRegRes"' and '"ThetaRegRes"' |
| combineThetaRegRes | Class '"GenRegRes"' and '"ThetaRegRes"' |
| dunkley2006params | Class '"AnnotationParams"' |
| empPvalues | Estimate empirical p-values for Chi^2 protein correlations. |
| exprsToRatios | Calculate all ratio pairs |
| exprsToRatios-method | Calculate all ratio pairs |
| exprsToRatios-methods | Calculate all ratio pairs |
| f1Count | Class '"GenRegRes"' and '"ThetaRegRes"' |
| f1Count-method | Class '"GenRegRes"' and '"ThetaRegRes"' |
| favourPrimary | Class '"GenRegRes"' and '"ThetaRegRes"' |
| filterBinMSnSet | Filter a binary MSnSet |
| filterZeroCols | Remove 0 columns/rows |
| filterZeroRows | Remove 0 columns/rows |
| GenRegRes | Class '"GenRegRes"' and '"ThetaRegRes"' |
| GenRegRes-class | Class '"GenRegRes"' and '"ThetaRegRes"' |
| getAnnotationParams | Class '"AnnotationParams"' |
| getF1Scores | Class '"GenRegRes"' and '"ThetaRegRes"' |
| getF1Scores-method | Class '"GenRegRes"' and '"ThetaRegRes"' |
| getGOEvidenceCodes | GO Evidence Codes |
| getGOFromFeatures | Retrieve GO terms for feature names |
| getMarkerClasses | Returns the organelle classes in an 'MSnSet' |
| getMarkers | Returns the organelle markers in an 'MSnSet' |
| getParams | Class '"GenRegRes"' and '"ThetaRegRes"' |
| getParams-method | Class '"GenRegRes"' and '"ThetaRegRes"' |
| getParams-method | Undocumented/unexported entries |
| getPredictions | Returns the predictions in an 'MSnSet' |
| getRegularisedParams | Class '"GenRegRes"' and '"ThetaRegRes"' |
| getRegularisedParams-method | Class '"GenRegRes"' and '"ThetaRegRes"' |
| getRegularizedParams | Class '"GenRegRes"' and '"ThetaRegRes"' |
| getRegularizedParams-method | Class '"GenRegRes"' and '"ThetaRegRes"' |
| getSeed | Class '"GenRegRes"' and '"ThetaRegRes"' |
| getSeed-method | Class '"GenRegRes"' and '"ThetaRegRes"' |
| getStockcol | Manage default colours and point characters |
| getStockpch | Manage default colours and point characters |
| getUnknowncol | Manage default colours and point characters |
| getUnknownpch | Manage default colours and point characters |
| getWarnings | Class '"GenRegRes"' and '"ThetaRegRes"' |
| getWarnings-method | Class '"GenRegRes"' and '"ThetaRegRes"' |
| highlightOnPlot | Highlight features of interest on a plot2D figure |
| knnClassification | knn classification |
| knnOptimisation | knn parameter optimisation |
| knnOptimization | knn parameter optimisation |
| knnPrediction | knn classification |
| knnRegularisation | knn parameter optimisation |
| knntlClassification | knn transfer learning classification |
| knntlOptimisation | theta parameter optimisation |
| ksvmClassification | ksvm classification |
| ksvmOptimisation | ksvm parameter optimisation |
| ksvmOptimization | ksvm parameter optimisation |
| ksvmPrediction | ksvm classification |
| ksvmRegularisation | ksvm parameter optimisation |
| levelPlot | Class '"GenRegRes"' and '"ThetaRegRes"' |
| levelPlot-method | Class '"GenRegRes"' and '"ThetaRegRes"' |
| levelPlot-method | Undocumented/unexported entries |
| lopims | A complete LOPIMS pipeline |
| lopims1 | A complete LOPIMS pipeline |
| lopims2 | A complete LOPIMS pipeline |
| lopims3 | A complete LOPIMS pipeline |
| lopims4 | A complete LOPIMS pipeline |
| lopims5 | A complete LOPIMS pipeline |
| makeGoSet | Creates a GO feature 'MSnSet' |
| makeNaData | Create a data with missing values |
| makeNaData2 | Create a data with missing values |
| markerMSnSet | Extract marker/unknown subsets |
| minClassScore | Updates classes based on prediction scores |
| minMarkers | Creates a reduced marker variable |
| MLearn-method | The 'MLearn' interface for machine learning |
| MLearnMSnSet | The 'MLearn' interface for machine learning |
| MSnSetMLean | The 'MLearn' interface for machine learning |
| nbClassification | nb classification |
| nbOptimisation | nb paramter optimisation |
| nbOptimization | nb paramter optimisation |
| nbPrediction | nb classification |
| nbRegularisation | nb paramter optimisation |
| nndist | Nearest neighbour distances |
| nndist-method | Nearest neighbour distances |
| nndist-methods | Nearest neighbour distances |
| nnetClassification | nnet classification |
| nnetOptimisation | nnet parameter optimisation |
| nnetOptimization | nnet parameter optimisation |
| nnetPrediction | nnet classification |
| nnetRegularisation | nnet parameter optimisation |
| perTurboClassification | perTurbo classification |
| perTurboOptimisation | PerTurbo parameter optimisation |
| perTurboOptimization | PerTurbo parameter optimisation |
| phenoDisco | Runs the 'phenoDisco' algorithm. |
| plot-method | Class '"GenRegRes"' and '"ThetaRegRes"' |
| plot-method | Undocumented/unexported entries |
| plot2D | Plot organelle assignment data and results. |
| plot2D_v1 | Plot organelle assignment data and results. |
| plotDist | Plots the distribution of features across fractions |
| plsdaClassification | plsda classification |
| plsdaOptimisation | plsda parameter optimisation |
| plsdaOptimization | plsda parameter optimisation |
| plsdaPrediction | plsda classification |
| plsdaRegularisation | plsda parameter optimisation |
| pRolocmarkers | Organelle markers |
| rfClassification | rf classification |
| rfOptimisation | svm parameter optimisation |
| rfOptimization | svm parameter optimisation |
| rfPrediction | rf classification |
| rfRegularisation | svm parameter optimisation |
| sampleMSnSet | Extract a stratified sample of an 'MSnSet' |
| setAnnotationParams | Class '"AnnotationParams"' |
| setStockcol | Manage default colours and point characters |
| setStockpch | Manage default colours and point characters |
| setUnknowncol | Manage default colours and point characters |
| setUnknownpch | Manage default colours and point characters |
| show-method | Class '"AnnotationParams"' |
| show-method | Class '"GenRegRes"' and '"ThetaRegRes"' |
| show-method | Undocumented/unexported entries |
| showGOEvidenceCodes | GO Evidence Codes |
| svmClassification | svm classification |
| svmOptimisation | svm parameter optimisation |
| svmOptimization | svm parameter optimisation |
| svmPrediction | svm classification |
| svmRegularisation | svm parameter optimisation |
| testMarkers | Tests marker class sizes |
| testMSnSet | Create a stratified 'test' 'MSnSet' |
| ThetaRegRes | Class '"GenRegRes"' and '"ThetaRegRes"' |
| ThetaRegRes-class | Class '"GenRegRes"' and '"ThetaRegRes"' |
| thetas | Draw matrix of thetas to test |
| undocumented | Undocumented/unexported entries |
| unknownMSnSet | Extract marker/unknown subsets |
| whichNA | Create a data with missing values |