Plot the abundance of new and old RNA and the fitted model over time for a single gene.
PlotGeneProgressiveTimecourse(
data,
gene,
slot = DefaultSlot(data),
time = Design$dur.4sU,
type = c("nlls", "ntr", "lm"),
exact.tics = TRUE,
show.CI = FALSE,
return.tables = FALSE,
rescale = TRUE,
...
)either a ggplot object, or a list containing all tables used for plotting and the ggplot object.
a grandR object
the gene to be plotted
the data slot of the observed abundances
the labeling duration column in the column annotation table
how to fit the model (see FitKinetics)
use axis labels directly corresponding to the available labeling durations?
show confidence intervals; one of TRUE/FALSE (default: FALSE)
also return the tables used for plotting
for type=ntr or type=chase, rescale all samples to the same total value?
given to the fitting procedures
For each Condition there will be one panel containing the values and the corresponding model fit.
FitKineticsGeneNtr, FitKineticsGeneLeastSquares, FitKineticsGeneLogSpaceLinear