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      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
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python-scanpy 1.9.6
Propagated dependencies: python-anndata@0.10.7 python-dask@2024.4.2 python-h5py@3.8.0 python-igraph@0.10.4-0.b6ebd8e python-joblib@1.4.2 python-legacy-api-wrap@1.2 python-louvain@0.16 python-matplotlib@3.8.2 python-natsort@7.1.1 python-networkx@3.4.2 python-numba@0.59.1 python-packaging@24.2 python-pandas@2.2.3 python-patsy@0.5.2 python-scikit-learn@1.4.2 python-scipy@1.12.0 python-setuptools@67.6.1 python-seaborn@0.13.1 python-session-info@1.0.0 python-sinfo@0.3.4 python-statsmodels@0.14.0 python-tables@3.10.1 python-pytoml@0.1.21 python-tqdm@4.67.1 python-umap-learn@0.5.6
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/theislab/scanpy
Licenses: Modified BSD
Synopsis: Single-Cell Analysis in Python
Description:

Scanpy is a scalable toolkit for analyzing single-cell gene expression data. It includes preprocessing, visualization, clustering, pseudotime and trajectory inference and differential expression testing. The Python-based implementation efficiently deals with datasets of more than one million cells.

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