Description Usage Arguments Details Value Author(s) See Also Examples
Performs ratio transformation (normalisation) of RTCA data, as recommended by the producer Roche.
1 | ratioTransform(object, time)
|
object |
An object of |
time |
numeric, the time point used to normalize the whole series of data |
The xCelligence software provided by Roche performs ratio transform implicitly by dividing the time-series impedance measurement by the value of a selected time point (so-called 'base-time'), for instance 5 hours after compound transfection, in each cell. The aim of this transformation was to scale (normalize) the data of different wells, since the normalized values of all wells are uniformly 1 at the base-time.
However, this method is vulnerable to arbitrary selection of the time point chosen to normalize. It may be helpful to try several base-time values before comparing normalized results.
See derivativeTransform
and rgrTransform
for other normalization (scaling) possibilities.
An object of RTCA
, populated with normalized
value. The normalized values of all wells are uniformly 1 at the base-time.
Jitao David Zhang jitao_david.zhang@roche.com
smoothTransform
and interpolationTransform
for smoothing and interpolating the RTCA
data. rgrTransform
calculates relative growth rate,
derivativeTransform
calculates derivatitve. The later two
methods are not sensative to the selection of base-time point.
1 2 3 4 5 6 | require(RTCA)
ofile <- system.file("/extdata/testOutput.csv", package="RTCA")
x <- parseRTCA(ofile)
xNorm <- ratioTransform(x, 35)
|
Loading required package: Biobase
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clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
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order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind,
rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
union, unique, unsplit, which, which.max, which.min
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