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Author:
Alex Wolf, Philipp Angerer, Fidel Ramirez, Isaac Virshup, Sergei Rybakov, Gokcen Eraslan, Tom White, Malte Luecken, Davide Cittaro, Tobias Callies, Marius Lange, Andrés R. Muñoz-Rojas
Summary:
Single-Cell Analysis in Python.
Latest version:
1.10.1
Required dependencies:
anndata
|
get-annotations
|
h5py
|
joblib
|
legacy-api-wrap
|
matplotlib
|
natsort
|
networkx
|
numba
|
numpy
|
packaging
|
pandas
|
patsy
|
pynndescent
|
scikit-learn
|
scipy
|
seaborn
|
session-info
|
statsmodels
|
tqdm
|
umap-learn
Optional dependencies:
bbknn
|
cudf
|
cugraph
|
cuml
|
dask
|
dask-ml
|
harmonypy
|
igraph
|
ipython
|
leidenalg
|
louvain
|
magic-impute
|
matplotlib
|
myst-nb
|
myst-parser
|
nbsphinx
|
pre-commit
|
profimp
|
pytest
|
pytest-cov
|
pytest-mock
|
pytest-nunit
|
readthedocs-sphinx-search
|
sam-algorithm
|
scanorama
|
scanpy
|
scanpydoc
|
scikit-image
|
scikit-misc
|
setuptools
|
setuptools-scm
|
sphinx
|
sphinx-autodoc-typehints
|
sphinx-book-theme
|
sphinx-copybutton
|
sphinx-design
|
sphinxcontrib-bibtex
|
sphinxext-opengraph
|
zarr
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