assessTrajectoryTrends.Rd
Analyzes the trend of gene and gene-set-expressions along trajectories by fitting a variety of mathematical models to them and by assessing the quality of the fit.
assessTrajectoryTrends()
: Takes a valid spata-object and constructs
the subsequent data.frame from scratch.
assessTrajectoryTrends2()
: Takes a summarized trajectory data.frame
returned by getTrajectoryDf()
.
assessTrajectoryTrends( object, trajectory_name, of_sample = "", variables, accuracy = 5, verbose = TRUE ) assessTrajectoryTrends2(stdf, verbose = TRUE)
object | A valid spata-object. |
---|---|
trajectory_name | The trajectory of interest specified as a single character value. |
of_sample | The sample(s) of interest specified as a single character value or vector. If set to "" (the default) the first sample is chosen. |
variables | Character vector. The variables of interest:
|
verbose | Logical. If set to TRUE informative messages regarding the computational progress will be printed. (Warning messages will always be printed.) |
stdf | A summarized trajectory data.frame. (e.g. obtained by
|
A data.frame arranged by the residuals area-under-the-curve-values describing how well a model fitted the expression trend of a gene or gene set.