v0.2.0 - enhancements, new features and a full example added
enhancements
- 2D metadata plots: up to 10 columns per row, coordinates are fixed on both axes, numeric color scheme blue to red with midpoint 0 in grey
new features
- 2D feature plots: specify features of interest, which values from the data, will be highlighted in the 2D plots (motivated by bioinformatics highlighting expression levels of marker genes)
- densMAP support: local density preserving regularization as an additional dimensionality reduction method
- additional PCA diagnostics:
- pairs: sequential pair-wise PCs for up to 10 PCs using scatter- and density-plots colored by metadata_of_interest
- loadings: showing the magnitude and direction of the 10 most influential features for each PC combination
- interactive 2D and 3D visualizations (self-contained HTML files) of all projections and embeddings including widgets to color by categorical and numerical metadata, respectively
- hierarchically clustered heatmaps of scaled data (z-score) with configured distance metrics and clustering methods (all combinations are computed), and annotated with metadata_of_interest
documentation
- add a minimal example, using the digits dataset from sklearn, to show configuration, results, and report (.test/ folder)
- update the documentation accordingly (Software, Methods, Features, Examples)
- update report to include all new feature outputs (apart from interactive plots)
- update rulegraph
Bug fixes and performance improvements are not mentioned.
Full Changelog: v0.1.0...v0.2.0