The NTRs of each sample might be systematically too small (or large). This function identifies such systematic deviations and computes labeling durations without systematic deviations.
CalibrateEffectiveLabelingTimeMatchHalflives(
data,
reference.halflives = NULL,
reference.columns = NULL,
slot = DefaultSlot(data),
time.labeling = Design$dur.4sU,
time.experiment = NULL,
time.name = "calibrated_time",
n.estimate = 1000,
verbose = FALSE
)
A new grandR object containing the calibrated durations in the column data annotation
A grandR object
a vector of reference Half-lives named by genes
the reference column description
The data slot to take expression values from
the column in the column annotation table denoting the labeling duration or the labeling duration itself
the column in the column annotation table denoting the experimental time point (can be NULL, see details)
The name in the column annotation table to put the calibrated labeling durations
the times are calibrated with the top n expressed genes
verbose output
FitKineticsGeneSnapshot