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scBoolSeq Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[0.2.0] - 2023-10-12

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] - 2022-05-13

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