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Author:
Philipp Putze, Daniele Lucarelli
License:
MIT License
Copyright (c) 2026, Saur Lab
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated document...
Summary:
Cellpin: A Student–Teacher Variational Model for Spatial Transcriptomics Imputation and Encoding
Latest version:
0.1.1
Required dependencies:
anndata
|
optuna
|
psutil
|
pytorch-lightning
|
pyyaml
|
rich
|
scanpy
|
session-info2
|
spatialdata
|
tensorboard
|
torch
|
zarr
Optional dependencies:
spatialdata
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