* fixed Louvain and Leiden Clustering for rapids version > 22.08. * added support for `use_weights` for `leiden` and `louvain` clustering * added support for `neighbors_key` for `leiden` and `louvain` clustering * added possibility to use different neighbourhood graphs * added support multi_target_regresion in `cudata_funcs.regress_out` * added support for `__getitem__` to be used on `.var` * added support for slices to be used on `__getitem__`
0.3.0
v.0.3.0 cunnData * added support for spatial transcriptomics * added `.obsm` to cunnData * moved methods from class to `cunnData_funcs`
cunnData_funcs * most methods of cunnData are now functions the can be used on the cunnData object.
scanpy_gpu * split functions into separate files
decoupler_gpu * added first two accelerated `decoupler` functions: * `run_mlm` * `run_wsum`
0.2.2
Minor Bugfixes * Fixed `dtype` bug after using `normalize_pearson_residuals.`
0.2.1
added support for: * `highly_variable_genes` based on `poisson_gene_selection` * `pyMDE` embedding * `harmony_integrate` batch correction * some improvements for `tsne`, `leiden`, `louvain`
0.2.0
new functionalities and improvements: * support for `layers` in `cunndata` * support for selecting HVGs based on `seurat_v3` and `pearson_residuals` * `layers` support for `highly_varible_genes` * new function for normalizing based on `pearson_residuals` * `calculate_qc` got sped up * `layers` support for `pca` and `rank_genes_groups_logreg` * new function for calculating `embedding_density`