Description Usage Arguments Details Value Examples
View source: R/tppccrTransform.R
Transform fold changes of TPP-CCR experiment to prepare them for dose response curve fitting.
1 | tppccrTransform(data, fcCutoff = 1.5, fcTolerance = 0.1)
|
data |
expressionSet object containing the data to be transformed. |
fcCutoff |
cutoff for highest compound concentration fold change. |
fcTolerance |
tolerance for the fcCutoff parameter. See details. |
Only proteins with fold changes bigger than
[fcCutoff * (1 - fcTolerance)
or smaller than
1/(fcCutoff * (1 - fcTolerance))]
will be used for curve fitting.
Additionally, the proteins fulfilling the fcCutoff criterion without
tolerance will be marked in the output column meets_FC_requirement
.
List of expressionSet objects storing the transformed 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 4 5 6 7 8 9 10 11 12 13 | data(hdacCCR_smallExample)
tppccrData <- tppccrImport(configTable=hdacCCR_config, data = hdacCCR_data)
tppccrNorm <- tppccrNormalize(data=tppccrData)
# Perform transformation:
tppccrTransformed <- tppccrTransform(data=tppccrNorm)
# Obtain transformed measurements per replicate:
transf_replicate1 <- tppccrTransformed$Panobinostat_1
transf_replicate2 <- tppccrTransformed$Panobinostat_2
# Inspect transformed data in replicate 1:
effects_replicate1 <- Biobase::featureData(transf_replicate1)$compound_effect
newData_repl1 <- data.frame(Biobase::exprs(transf_replicate1),
Type=effects_replicate1)[!is.na(effects_replicate1),]
|
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