tppccrImport {TPP} | R Documentation

## Import TPP-CCR dataset for analysis by the `TPP` package.

### Description

`tppccrImport` imports a table of protein fold changes and stores them in an ExpressionSet for use in the `TPP` package.

### Usage

    tppccrImport(configTable, data = NULL, idVar = "gene_name",
      fcStr = "rel_fc_", naStrs = c("NA", "n/d", "NaN", "<NA>"),
      qualColName = "qupm", nonZeroCols = "qssm")

### Arguments

`configTable` | either a dataframe or the path to a spreadsheet. In both cases it specifies necessary information of the TPP-CCR experiment.
`data` | dataframe containing fold change measurements and additional annotation columns to be imported. Can be used instead of specifying the file path in `configTable`.
`idVar` | character string indicating which data column provides the unique identifiers for each protein.
`fcStr` | character string indicating which columns contain the actual fold change values. Those column names containing the suffix `fcStr` will be regarded as containing fold change values.
`naStrs` | character vector indicating missing values in the data table. When reading data from file, this value will be passed on to the argument `na.strings` in function `read.delim`.
`qualColName` | character string indicating which column can be used for additional quality criteria when deciding between different non-unique protein identifiers.
`nonZeroCols` | character string indicating a column that will be used for filtering out zero values.

### Details

The imported dataset has to contain measurements obtained by a TPP-CCR experiment. Fold changes need to be pre-computed using the lowest concentration as reference.

The dataset can be specified by filename in the `configTable` argument, or given directly in the `data` argument

The default settings are adjusted to analyze data of the python package `isobarQuant`. You can also customize them for your own dataset.

The `configTable` argument is a dataframe, or the path to a spreadsheet (tab-delimited text-file without quoted strings, or xlsx format). Information about each experiment is stored row-wise. It contains the following columns:

- `Path`: location of the datafile. Alternatively, data can be directly handed over by the `data` argument.

- `Experiment`: unique experiment name.

- Label columns: each isobaric label names a column that contains the concentration administered for the label in the individual experiments.

During data import, proteins with NAs in the data column specified by `idVar` receive unique generic IDs so that they can be processed by the package.

### Value

ExpressionSet object storing the measured fold changes, as well as row and column metadata. In each ExpressionSet `S`, the fold changes can be accessed by `Biobase::exprs(S)`. Protein expNames can be accessed by `featureNames(S)`. Isobaric labels and the corresponding concentrations are returned by `S$label` and `S$concentration`.

### See Also

`tpptrImport`, `tppccrCurveFit`

### Examples

    data(hdacCCR_smallExample)
    tppccrData <- tppccrImport(configTable=hdacCCR_config,
    data = hdacCCR_data)

[Package TPP version 3.8.5 Index]