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cetsax


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Author: None
License: BSD 3-Clause License Copyright (c) 2025, Abhinav Mishra Redistribution and use in source and binary forms, with or without modification, are permitted provide...
Summary: CETSA analysis and deep learning toolkit for binding curves, hit calling, and proteome-wide ligand-responsiveness prediction.
Latest version: 0.9.1
Required dependencies: arviz | fair-esm | joblib | matplotlib | mkdocs | mkdocs-material | mkdocstrings | mygene | mypy | networkx | numpy | pandas | pymc | pytest | requests | ruff | scikit-learn | scipy | seaborn | shap | snakemake | torch | tqdm | transformers
Optional dependencies: black | mkdocs | mkdocs-shadcn | mkdocstrings | mypy | pymdown-extensions | pytest | pytest-cov | ruff

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