View source: R/nlme_fit_prep.R
normalizeComboData | R Documentation |
normalizeComboData
returns normalized intensities for the drug treated
wells with respect to controls - column normalized_intensity
.
Like normalizeData
, the TAG
column is replaced with
lib_drug
and dose
columns, but also treatment
(S or C)
, DRUG_ID_anch
, CONC_anch
and anchor
columns.
Combination treatments (C) are treated as if the library alone is to be
fitted.
normalizeComboData(myDat, trim = T, neg_control = "NC-1", pos_control = "B")
myDat |
a GDSC raw data data frame. |
trim |
logical indicating whether to trim normalized values to the range
0 to 1. default |
neg_control |
The tag used to recognise a negative control well - the upper end of the dynamic range. |
pos_control |
The tag used to recognise a positive control well - the lower end of the dynamic range. |
removeFailedDrugs
, removeMissingDrugs
,
setConcsForNlme
, prepNlmeData
data("gdsc_example") # Need a combo example here gdsc_example <- removeFailedDrugs(gdsc_example) gdsc_example <- removeMissingDrugs(gdsc_example) gdsc_example <- normalizeComboData(gdsc_example) gdsc_example <- setConcsForNlme(gdsc_example) nlme_data <- prepNlmeData(gdsc_example, "COSMIC_ID")
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