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Releases: KrishnaswamyLab/scprep

v1.2.3

19 Jun 18:16
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Full Changelog: v1.2.2...v1.2.3.post2

v1.2.2

01 Feb 15:29
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Full Changelog: v1.2.1...v1.2.2

v1.2.1

22 Sep 22:35
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Full Changelog: v1.2.0...v1.2.1

scprep v1.2.0

11 May 16:57
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Full Changelog: v1.1.0...v1.2.0

scprep v1.1.0

19 Mar 20:46
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Changeset:

  • Added scprep.run.DyngenSimulate
  • Improved behavior of DREVI with constant inputs
  • Added pre-commit for clearer development guidelines

scprep v1.0.1

14 Oct 18:22
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Changeset:

  • scprep.plot.histogram supports 0 and negative data with log='x' and log=True
  • scprep.filter.filter_values (library_size, gene_set_expression) supports cutoff=(low, high) and percentile=(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 and scprep.stats.rank_sum_statistic
  • scprep.stats.differential_expression supports measure='ttest' and measure='ranksum'

scprep v1.0

08 Oct 15:10
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Changeset:

  • upgraded pandas dependency from <0.24 to >0.25
  • added scprep.run.Slingshot
  • added scprep.stats.differential_expression
  • added scprep.measure.gene_variability and select.highly_variable_genes
  • added scprep.io.download submodule
  • added scprep.io.save_mtx
  • many bugfixes

scprep v0.12.1

13 Jun 18:19
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Changeset:

  • addition of scprep.plot.colors
  • plot.marker_plot no longer fails with NaN input
  • substantial refactor of ScatterParams
  • various bugfixes

scprep v0.12.0

14 Apr 00:55
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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

07 Mar 16:58
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Changeset:

  • moved scprep.hdf5 to scprep.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 and scprep.plot.plot_gene_set_expression now accept multiple datasets
  • various bugfixes and improved testing