_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
python-magic-impute 3.0.0
Propagated dependencies: python-future@1.0.0 python-graphtools@2.1.0 python-matplotlib@3.10.9 python-numpy@2.4.6 python-pandas@3.0.3 python-scikit-learn@1.9.0 python-scipy@1.17.1 python-scprep@1.2.3 python-tasklogger@1.2.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/KrishnaswamyLab/MAGIC
Licenses: GPL 2+
Build system: pyproject
Synopsis: Markov affinity-based graph imputation of cells
Description:

MAGIC is an interactive tool to impute missing values in single-cell sequencing data and to restore the structure of the data. It also provides data pre-processing functionality such as dimensionality reduction and gene expression visualization.

Total packages: 1