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Author:
None
License:
MIT License
Copyright (c) 2025 Andrew J. Ashford
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated ...
Summary:
UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.
Latest version:
0.4.7
Required dependencies:
anndata
|
h5py
|
igraph
|
leidenalg
|
matplotlib
|
numpy
|
openpyxl
|
pandas
|
pyyaml
|
scanpy
|
scikit-learn
|
scipy
|
seaborn
|
torch
|
tqdm
Optional dependencies:
harmonypy
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