Description Usage Arguments Details Value See Also Examples
tppccrImport
imports a table of protein fold changes and
stores them in an ExpressionSet for use in the TPP
package.
1 2 3 4 5 6 7 8 9 | tppccrImport(
configTable,
data = NULL,
idVar = "gene_name",
fcStr = "rel_fc_",
naStrs = c("NA", "n/d", "NaN", "<NA>"),
qualColName = "qupm",
nonZeroCols = "qssm"
)
|
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 |
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
|
naStrs |
character vector indicating missing values in the data table.
When reading data from file, this value will be passed on to the argument
|
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. |
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.
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
.
1 2 3 | data(hdacCCR_smallExample)
tppccrData <- tppccrImport(configTable=hdacCCR_config,
data = hdacCCR_data)
|
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