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Author: None
License: MIT License Copyright (c) 2022 Xin Xiong Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in...
Summary: A unified DEep-learning and SIngle-cell based DEconvolution method for solid tumors
Latest version: 1.3.2
Required dependencies: anndata | bbknn | build | fsspec | h5py | jinja2 | matplotlib | myst-parser | numba | numpy | pandas | scanpy | scienceplots | scikit-learn | scipy | seaborn | sphinx | tables | tensorflow | umap-learn

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