Description Usage Arguments Value Examples
View source: R/tpp2dCurveFit.R
Performs analysis of a TPP-CCR experiment by invoking the routine for TPP-CCR curve fitting for each temperature of the sample.
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configFile |
DEPCRECATED |
data |
data frame that contains the data of the 2D-TPP experiment for each temperature. |
nCores |
numeric value stating how many cores are to be used for computation |
naStrs |
DEPCRECATED |
fcStr |
DEPCRECATED |
idVar |
DEPCRECATED |
nonZeroCols |
DEPCRECATED |
r2Cutoff |
Quality criterion on dose response curve fit. |
fcCutoff |
Cutoff for highest compound concentration fold change. |
slopeBounds |
Bounds on the slope parameter for dose response curve fitting. |
fcTolerance |
tolerance for the fcCutoff parameter. See details. |
A data frames in which the fit results are stored row-wise for each protein.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | # Preparation:
data(panobinostat_2DTPP_smallExample)
# Import data:
datIn <- tpp2dImport(configTable = panobinostat_2DTPP_config,
data = panobinostat_2DTPP_data,
idVar = "representative",
addCol = "clustername",
intensityStr = "sumionarea_protein_",
nonZeroCols = "qusm")
# Compute fold changes:
datFC <- tpp2dComputeFoldChanges(data = datIn)
# Perform median normalization:
datNorm <- tpp2dNormalize(data = datFC)
# View updated attributes. Now contain field 'fcStrNorm' indicating prefix
# of the fold change columns after normalization.
attr(datNorm, "importSettings")["fcStrNorm"]
# Perform dose response curve fitting and pEC50 calculation:
datFit <- tpp2dCurveFit(data = datNorm)
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