Description Usage Arguments Value Examples
Import 2D-TPP dataset using a config table
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | import2dDataset(
configTable,
data,
idVar = "representative",
intensityStr = "sumionarea_protein_",
fcStr = "rel_fc_protein_",
nonZeroCols = "qssm",
geneNameVar = "clustername",
addCol = NULL,
qualColName = "qupm",
naStrs = c("NA", "n/d", "NaN"),
concFactor = 1e+06,
medianNormalizeFC = TRUE,
filterContaminants = TRUE
)
|
configTable |
character string of a file path to a config table |
data |
possible list of datasets from different MS runs corresponding to a 2D-TPP dataset, circumvents loading datasets referencend in config table, default is NULL |
idVar |
character string indicating which data column provides the unique identifiers for each protein. |
intensityStr |
character string indicating which columns contain raw intensities measurements |
fcStr |
character string indicating which columns contain the actual
fold change values. Those column names containing the suffix |
nonZeroCols |
column like default qssm that should be imported and requested to be non-zero in analyzed data |
geneNameVar |
character string of the column name that describes the gene name of a given protein in the raw data files |
addCol |
character string indicating additional column to import |
qualColName |
character string indicating which column can be used for additional quality criteria when deciding between different non-unique protein identifiers. |
naStrs |
character vector indicating missing values in the data table.
When reading data from file, this value will be passed on to the argument
|
concFactor |
numeric value that indicates how concentrations need to be adjusted to yield total unit e.g. default mmol - 1e6 |
medianNormalizeFC |
perform median normalization (default: TRUE). |
filterContaminants |
boolean variable indicating whether data should be filtered to exclude contaminants (default: TRUE). |
tidy data frame representing a 2D-TPP dataset
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | data("config_tab")
data("raw_dat_list")
import_df <- import2dDataset(configTable = config_tab,
data = raw_dat_list,
idVar = "protein_id",
intensityStr = "signal_sum_",
fcStr = "rel_fc_",
nonZeroCols = "qusm",
geneNameVar = "gene_name",
addCol = NULL,
qualColName = "qupm",
naStrs = c("NA", "n/d", "NaN"),
concFactor = 1e6,
medianNormalizeFC = TRUE,
filterContaminants = TRUE)
|
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