plotTargetingDrugsVSsimilarPerturbations {cTRAP} | R Documentation

## Plot similar perturbations against predicted targeting drugs

### Description

Plot similar perturbations against predicted targeting drugs

### Usage

    plotTargetingDrugsVSsimilarPerturbations(targetingDrugs,
      similarPerturbations, column, labelBy = "pert_iname",
      quantileThreshold = 0.25, showAllScores = FALSE)

### Arguments

`targetingDrugs` | `targetingDrugs` object
`similarPerturbations` | `similarPerturbations` object
`column` | Character: column to plot (must be available in both databases)
`labelBy` | Character: column in `similarPerturbations`, its metadata or compound information to be used for labelling
`quantileThreshold` | Numeric: quantile to use for highlight values within [0, 1]
`showAllScores` | Boolean: showl all scores? If `FALSE`, only the best score per compound will be plotted

### Value

`ggplot2` plot

### See Also

Other functions related with the ranking of CMap perturbations: `[.perturbationChanges`, `as.table.similarPerturbations`, `dim.perturbationChanges`, `dimnames.perturbationChanges`, `filterCMapMetadata`, `getCMapConditions`, `getCMapPerturbationTypes`, `loadCMapData`, `loadCMapZscores`, `parseCMapID`, `plot.perturbationChanges`, `plot.referenceComparison`, `prepareCMapPerturbations`, `print.similarPerturbations`, `rankSimilarPerturbations`

Other functions related with the prediction of targeting drugs: `loadExpressionDrugSensitivityAssociation`, `plot.referenceComparison`, `predictTargetingDrugs`

[Package cTRAP version 1.5.0 Index]