Releases: KrishnaswamyLab/scprep
Releases · KrishnaswamyLab/scprep
v1.2.3
v1.2.2
What's Changed
- Remove py36 by @scottgigante in #134
- Bump urllib by @scottgigante in #136
Full Changelog: v1.2.1...v1.2.2
v1.2.1
What's Changed
- Clear warnings and test errors by @scottgigante-immunai in #133
Full Changelog: v1.2.0...v1.2.1
scprep v1.2.0
What's Changed
- Print traceback on RFunction error by @scottgigante-immunai in #128
- Add
ignore_nan
arg toscprep.stats.pairwise_correlation
by @scottgigante-immunai in #123
New Contributors
- @scottgigante-immunai made their first contribution in #128
Full Changelog: v1.1.0...v1.2.0
scprep v1.1.0
Changeset:
- Added
scprep.run.DyngenSimulate
- Improved behavior of DREVI with constant inputs
- Added pre-commit for clearer development guidelines
scprep v1.0.1
Changeset:
scprep.plot.histogram
supports 0 and negative data withlog='x'
andlog=True
scprep.filter.filter_values
(library_size
,gene_set_expression
) supportscutoff=(low, high)
andpercentile=(low, high)
- variable genes calculation is more stable using a rolling median (no longer uses loess)
- added
scprep.measure.gene_capture_count
- added
scprep.stats.t_statistic
andscprep.stats.rank_sum_statistic
scprep.stats.differential_expression
supportsmeasure='ttest'
andmeasure='ranksum'
scprep v1.0
Changeset:
- upgraded
pandas
dependency from <0.24 to >0.25 - added
scprep.run.Slingshot
- added
scprep.stats.differential_expression
- added
scprep.measure.gene_variability
andselect.highly_variable_genes
- added
scprep.io.download
submodule - added
scprep.io.save_mtx
- many bugfixes
scprep v0.12.1
Changeset:
- addition of
scprep.plot.colors
plot.marker_plot
no longer fails withNaN
input- substantial refactor of
ScatterParams
- various bugfixes
scprep v0.12.0
Changeset:
- added
scprep.run.splatter
, a Python port of the Bioconductor Splatter package - added compatibility for Cellranger 3.0 10X files
- optional dependencies are now loaded at runtime
scprep.plot.marker_plot
now sorts markers and tissues by linkage by default- bugfixes in multi-dataset histograms
scprep v0.11.0
Changeset:
- moved
scprep.hdf5
toscprep.io.hdf5
- added
scprep.plot.jitter
- added experimental alternative to
fcsparser
for malformed fcs files - changed
gene_set_expression
to not library size normalize by default scprep.io.load_10X_zip
now accepts urls- added examples to docs for scatter plots and jitter plots
scprep.plot.histogram
,scprep.plot.plot_library_size
andscprep.plot.plot_gene_set_expression
now accept multiple datasets- various bugfixes and improved testing