Scboolseq

Latest version: v2.1.0

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0.2.0

Added

- Compliance with scikit-learn Transformer API.
- Usage of scikit-learn's `set_output` API to output pandas.DataFrames (keep gene and observation names).

Changed

- Coarse-graining of Zero-Inflated genes is now performed as zero-or-not instead of quantile.

Removed

- All R dependencies: scBoolSeq is now implemented in pure Python, built on top of pandas and scikit-learn.
- Temporarily, the CLI has been removed as it needs major refactoring to accomodate the API's changes.

0.1.0

First version of scBoolSeq, buit as a wrapper around a series of R scripts.

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