Releases: scverse/rapids_singlecell
Releases · scverse/rapids_singlecell
v.0.5.1
Changes:
- improves
__getitem__
function - fixed a small bug while creating
cunndata
- changed to
calculate_qc_metrics
with log1p - updates
calc_gene_qc
to be consistent withcalculate_qc_metrics
- updates
filter_cells
andfilter_genes
- updates docs
- updates Notebooks
v0.5.0
v0.4.2
v0.4.1
v0.4.0
changed name from rapids_singlecell to rapids-singlecell
Added ability to install from pipy
Added updated yaml recipes for Conda environments
Minor Changes:
- minor fix for rapids-23.02 in
rank_genes_groups_logreg
- accelerated
_get_mean_var
- improvements for
tl.tsne
:
* addedmethod
argument
* addedmetric
argument
v0.3.3
v0.3.2
v0.3.1
- fixed Louvain and Leiden Clustering for rapids version > 22.08.
- added support for
use_weights
forleiden
andlouvain
clustering - added support for
neighbors_key
forleiden
andlouvain
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__
v0.3.0
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