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torchcell


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Author: Michael Volk
Summary: Provenance-first experimental data for the S. cerevisiae virtual cell: sha256-pinned dataset loaders, a knowledge graph, and models
Latest version: 1.8.4
Required dependencies: adjusttext | aiohttp | attrs | beartype | bibtexparser | biocypher | biopython | cliff | cobra | deepdiff | fastapi | fastjsonschema | filelock | geomloss | geoparse | gffutils | goatools | h5py | hydra-core | hypernetx | intermine | lightning | lmdb | matplotlib | matplotlib-venn | memory-profiler | neo4j | networkx | nxontology | openpyxl | owlready2 | pandas | pandas-stubs | pip-tools | plotly | pre-commit | pronto | pyarrow | pydantic | pydot | pyreadr | python-dotenv | python-semantic-release | pyzotero | rdata | rdkit | scikit-image | scikit-learn | scipy | seaborn | sentencepiece | snakeviz | sortedcontainers | torch | torch-geometric | torchmetrics | transformers | twine | types-requests | types-tqdm | umap-learn | unidecode | uvicorn | wandb | wandb-osh | xlrd
Optional dependencies: mypy | pip-tools | pytest | ruff | semantic-release

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