Skip to content
Selecting the optimal trajectory inference based on a given dataset and user input 🔮
R JavaScript CSS Shell Dockerfile
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.

Build Status AppVeyor Build Status codecov

Selecting the most optimal TI methods

This package summarises the results from the dynbenchmark evaluation of trajectory inference methods. Both programmatically and through a (shiny) app, users can select the most optimal set of methods given a set of user and dataset specific parameters.

Installing the app:

# install.packages("devtools")

Running the app:


See dyno for more information on how to use this package to infer and interpret trajectories.


Latest changes

Check out news(package = "dynguidelines") or for a full list of changes.

Recent changes in dynguidelines 1.0 (29-03-2019)

Minor changes * Remove dyneval dependency * Minor changes due to changes in dynwrap v1.0

Recent changes in dynguidelines 0.3.2 (17-12-2018)

New features

  • Enable automatic deployment via travis-ci


  • Justify lens buttons
  • Use master branch of dynwrap instead of devel
You can’t perform that action at this time.