_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
python-scprep 1.2.3
Dependencies: bash-minimal@5.2.37 r-apeglm@1.34.0 r-deseq2@1.52.0 r-drimseq@1.40.0 r-ggplot2@4.0.3 r-lazyeval@0.2.3 r-minimal@4.6.0 r-qqman@0.1.9 r-renv@1.2.3 r-rlang@1.2.0 r-slingshot@2.20.0
Propagated dependencies: python-decorator@5.2.1 python-numpy@2.3.1 python-packaging@25.0 python-pandas@2.3.3 python-scikit-learn@1.7.2 python-scipy@1.16.3
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/KrishnaswamyLab/scprep
Licenses: Expat
Build system: pyproject
Synopsis: Tools for loading, processing, and handling single cell data
Description:

scprep provides an all-in-one framework for loading, preprocessing, and plotting matrices in Python, with a focus on single-cell genomics.

Total packages: 1