Added SKlearn compatibility by adding fit(), transform(), and fit_transform() functions to all single-sample pathway analysis methods.
0.2.1
- Removal of rpy2 dependency for improved compatibility across systems - Use [GSEApy](https://github.com/zqfang/GSEApy) as backend for GSEA and ssGSEA - Minor syntax changes - `ora.ttest_res` is now `ora.DA_test_res` (as we can implement t-test or MWU tests) - `sspa_fgsea()` is now `sspa_gsea()` and uses gseapy as the backend rather than R fgsea - `sspa_gsva()` is temporarily deprecated due to the need for the rpy2 compatability - use the [GSVA R package](https://bioconductor.org/packages/release/bioc/html/GSVA.html) <!-- - Allow download of gene/protein pathways from KEGG and Reactome -->
0.1.4
What's new
- Enable download of MetExplore metabolic network pathway collections - Update colab notebook with new ssPA visualisations