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pyproject.toml
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36 lines (33 loc) · 900 Bytes
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[tool.poetry]
name = "scSpectra"
version = "0.2.0"
description = "Supervised discovery of interpretable gene programs from single-cell data"
authors = [
"Russel Z. Kunes <KunesR@mskcc.org>",
"Thomas Walle <t.walle@dkfz-heidelberg.de>"
]
maintainers = [
"Russel Z. Kunes <KundesR@mskcc.org>",
"Tobias Krause <krauset@mskcc.org>"
]
license = "MIT"
packages = [
{include = "Spectra", from="src"},
{include = "Spectra/load", from="src"},
]
[tool.poetry.dependencies]
python = "^3.8"
numpy = "^1.20.3"
scipy = "^1.7.3"
scanpy = "^1.8.2"
torch = "^1.10.1"
opt-einsum = "^3.3.0"
pandas = "^1.3.5"
tqdm = "^4.62.3"
pyvis = "^0.1.9"
[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"
[tool.poetry.urls]
Publication = "https://www.nature.com/articles/s41587-023-01940-3"
bioRxiv = "https://www.biorxiv.org/content/10.1101/2022.12.20.521311v1"