tppccrResultTable {TPP} | R Documentation

## Summarize results of a TPP-CCR study

### Description

`tppccrResultTable` summarizes the outcomes of a TPP-CCR study in a results table and includes quality information about the estimated dose response curves.

### Usage

    tppccrResultTable(data, r2Cutoff = 0.8)

### Arguments

`data` | list of expressionSet objects containing protein fold changes, as well as fitted curve parameters.
`r2Cutoff` | quality criterion on dose response curve fit. @details `data` is a list of expressionSet objects created by `tppccrCurveFit` or `tppccrPlotCurves`. It contains the isobaric labels and administered drug concentrations in the `phenoData` and user-defined protein properties (including dose response curve parameters) in the `featureData`. Protein IDs are stored in the `featureNames`. If `data` is the output of `tppccrPlotCurves`, plot locations are given in the `plot` column of the `featureData`.

### Value

A data frame in which the results are stored row-wise for each protein, together with the original annotation from the input files.

### See Also

`tppccrCurveFit`,`tppccrPlotCurves`

### Examples

    data(hdacCCR_smallExample)
    tppccrData <- tppccrImport(configTable=hdacCCR_config,
                               data=hdacCCR_data)
    tppccrNorm <- tppccrNormalize(data=tppccrData)
    tppccrTransformed <- tppccrTransform(data=tppccrNorm)
    tppccrFitted <- tppccrCurveFit(data=tppccrTransformed, nCores=1)
    tppccrResults <- tppccrResultTable(data=tppccrFitted)
    subset(tppccrResults, passed_filter_Panobinostat_1 & passed_filter_Panobinostat_2)

[Package TPP version 3.20.1 Index]