Metacells

Latest version: v0.9.4

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0.9.4

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* Fix minor bug in regularization of metacell fractions.
* Fix issue with canonical sparse matrices after downsampling (probably due to scipy.sparse updates?)
* Fix using deprecated AnnData APIs.

0.9.3

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* Allow specifying both target UMIs and target size (in cells) for the metacells, and adaptively try to
satisfy both. This should produce better-sized metacells "out of the box" compared to 0.9.[0-2].

0.9.2

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* Fix numpy compatibility issue.
* Fix K of UMAP skeleton KNN graph (broken in 0.9.1).

0.9.1

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* Fix build for python 3.11.
* More robust gene selection, KNN graph creation, and metacells partition.
* More thorough binary wheels.

0.9.0

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* Improved and published projection algorithm.
* Restrict number of rare gene candidates.
* Tighter control over metacells size and internal quality.
* Improved divide-and-conquer strategy.
* Base deviants (outliers) on gaps between cells.
* Terminology changes (see the README for details).
* Projection!

0.8.0

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* Add inner fold factor computation for metacells quality control.
* Add deviant fold factor computation for metacells quality control.
* Add projection of query data onto an atlas.
* Self-adjusting pile sizes.
* Add convenience function for computing data for MCView.
* Better control over filtering using absolute fold factors.
* Fix edge case in computing noisy lonely genes.
* Additional outliers certificates.
* Stricter deviants detection policy

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