- The main function of SCPA has been rewritten to be much more efficient with memory usage. This means that RAM availability is likely not going to be limiting on a typical computer i.e. 8GB RAM, even with a huge number of comparisons.
- The speed of the pathway comparisons is also slightly improved
- Added the option to filter gene set size in
compare_seurat()
- Add functionality to choose assay in Seurat object
- Add functionality to deal with SingleCellExperiment objects
sce_extractcan now extract data from SCE objects based on colDatacompare_scecan now compare pathways directly within an SCE object
- Add functionality to visualise results from SCPA with
plot_rank()andplot_heatmap()
- Improve messaging with
compare_pathways()
- Allow usage of multiple file types for pathways e.g. gmt, csv
- Fix CRAN archive with multicross and crossmatch
- Release SCPA for multivariate testing of pathways in scRNA-seq data