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dynwrap :: Adapting a trajectory model

Methods to adapt a trajectory

`add_cell_waypoints` `is_wrapper_with_waypoint_cells`	Add cell waypoints to a wrapped trajectory
`add_dimred` `is_wrapper_with_dimred` `get_dimred`	Add or create a dimensionality reduction
`add_expression` `is_wrapper_with_expression` `get_expression`	Add count and normalised expression values to a dataset
`add_grouping` `is_wrapper_with_grouping` `get_grouping`	Add a cell grouping to a dataset
`add_root` `add_root_using_expression` `is_rooted`	Root the trajectory
`add_tde_overall`	Add information on overall differentially expressed features
`add_timings` `is_wrapper_with_timings` `add_timing_checkpoint`	Add timings checkpoints
`add_waypoints` `is_wrapper_with_waypoints` `select_waypoints`	Add or create waypoints to a trajectory
`gather_cells_at_milestones`	"Gather" cells to their closest milestones
`label_milestones` `label_milestones_markers` `is_wrapper_with_milestone_labelling` `get_milestone_labelling`	Label milestones either manually (`label_milestones`) or using marker genes (`label_milestones_markers`)
`simplify_trajectory`	Simplify a trajectory by removing transient milestones