inst/NEWS.md

In dynverse/dyneval: Evaluating trajectory inference methods

dyneval 0.9.9 (07-04-2019)

• MINOR CHANGE: Update categories of metrics

• MINOR CHANGE: Move metric functions from dyneval to dynutils.

• MINOR CHANGE: Bump version number for dynwrap 1.0.0

dyneval 0.2.2 (21-11-2018)

• DOCUMENTATION: Update and expand documentation.

• BUG FIX: Update dyneval for dynwrap 0.3.1 (#50).

• MINOR CHANGE: Clean up imports and suggests.

dyneval 0.2.1 (14-11-2018)

• BUG FIX: Fix for feature importance scores when only a limited number of features are present

dyneval 0.2.0 (30-10-2018)

• DOCUMENTATION: Add NEWS.md.

• BUG FIX: Fix long_name of rf_mse and rf_nmse in metrics.tsv.

• FEATURE: Allow expression_source to be specified for feature importance metrics.

• BUG FIX: Fix category and type of lm_nmse in metrics.tsv.

• MINOR CHANGE: update dyneval for dynfeature 0.2.0.

dyneval 0.1.0 (10-03-2017)

• INITIAL RELEASE: dyneval provides an evaluation pipeline and the required metrics for evaluating trajectory inference methods. Contains the following metrics:
• Ordering:
  • Geodesic distance correlation: correlation
• Predicting trajectory from expression:
  • Random Forest MSE: rf_mse
  • Random Forest Normalised MSE rf_nmse
  • Random Forest R²: rf_rsq
  • Linear Model MSE: lm_mse
  • Linear Model Normalised MSE lm_nmse
  • Linear Model R²: lm_rsq
• Topology:
  • Edge flip: edge_flip
  • Hamming-Ipsen-Mikhailov similarity: him
  • Isomorphic: isomorphic
• Feature importance:
  • Feature importance correlation: featureimp_cor
  • Feature importance weighted correlation: featureimp_wcor
  • Feature importance enrichment ks: featureimp_ks
  • Feature importance enrichment wilcox: featureimp_wilcox
• Clustering:
  • Overlap between the branches: F1_branches
  • Overlap between the milestones: F1_milestones

dynverse/dyneval documentation built on May 25, 2019, 4:25 p.m.