Feature Importance for Dynamic Processes

Calculating feature importance scores from trajectories using the random forests algorithm and more. Saelens and Cannoodt et al. (2019) .


R-CMD-check Codecov testcoverage Tutorials

Calculating differentially expressed features across a trajectory

Included are methods to

  • Calculate the overall feature importance, using calculate_overall_feature_importance
  • Calculate the importance of a feature at a bifurcation point, using calculate_milestone_feature_importance

The plotting of the top features is nicely intergrated into dynplot

dynplotheatmap

Latest changes

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

Recent changes in dynfeature 1.0.1

  • MINOR CHANGE: Fixes to the description.

Recent changes in dynfeature 1.0.0

Initial release of dynfeature on CRAN.

  • MINOR CHANGE: Use only one core by default.

  • MINOR CHANGE: Support sparse matrices.

  • DOCUMENTATION: Add examples and returns.

Dynverse dependencies

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("dynfeature")

1.0.1 by Robrecht Cannoodt, 4 years ago


https://github.com/dynverse/dynfeature


Report a bug at https://github.com/dynverse/dynfeature/issues


Browse source code at https://github.com/cran/dynfeature


Authors: Robrecht Cannoodt [aut, cre] , rcannood) , Wouter Saelens [aut] , zouter)


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports dplyr, dynutils, dynwrap, purrr, methods, ranger, reshape2, testthat, tibble

Suggests caret, covr


See at CRAN