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celldisect


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Author: Arian Amani
License: BSD-3-Clause
Summary: Cell DISentangled Experts for Covariate counTerfactuals (CellDISECT). Causal generative model designed to disentangle known covariate variations from unknown ones at test time while simultaneously learning to make counterfactual predictions.
Latest version: 0.1.6
Required dependencies: adjusttext | anndata | black | flake8 | gdown | importlib-metadata | ipykernel | jax | jaxlib | jupyter | lightning | llvmlite | nbconvert | nbformat | numpy | pytest | pytest-cov | ray | scib | scib-metrics | scipy | scvi-tools | seaborn | torch | typing_extensions | wandb
Optional dependencies: ipython | nbsphinx | nbsphinx-link | pydata-sphinx-theme | scanpy | scanpydoc | sphinx | sphinx-autodoc-typehints | sphinx-rtd-theme | sphinx_gallery | toml

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