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muvi

0.1.5

muvi-0.1.5-py3-none-any.whl

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Project:	muvi
Version:	0.1.5
Filename:	muvi-0.1.5-py3-none-any.whl
Download:	[link]
Size:	54115
MD5:	`aba83fc572856a131d47aa82497e62ee`
SHA256:	`cb8f46484dea11fb72c9a8501e22b08c61e6684cc6010b899e200fa8cb7ad13d`
Uploaded:	2024-11-22 12:08:08 +0000

Metadata-Version:	2.1
Name:	muvi
Version:	0.1.5
Summary:	MuVI: A multi-view latent variable model with domain-informed structured sparsity for integrating noisy feature sets.
Author:	Arber Qoku
Author-Email:	arber.qoku[at]dkfz-heidelberg.com
Home-Page:	https://github.com/MLO-lab/MuVI
Project-Url:	Repository, https://github.com/MLO-lab/MuVI
Keywords:	multi-view,multi-omics,feature sets,latent variable model,structured sparsity,variational inference,single-cell
Classifier:	Programming Language :: Python :: 3
Classifier:	Programming Language :: Python :: 3.9
Classifier:	Programming Language :: Python :: 3.10
Requires-Python:	>=3.9,<3.11
Requires-Dist:	dill (<0.4.0,>=0.3.7)
Requires-Dist:	igraph (<0.12.0,>=0.11.5)
Requires-Dist:	kneed (<0.9.0,>=0.8.5)
Requires-Dist:	leidenalg (<0.11.0,>=0.10.2)
Requires-Dist:	mudata (<0.3.0,>=0.2.3)
Requires-Dist:	numpy (<2.0.0,>=1.26.1)
Requires-Dist:	pandas (<3.0.0,>=2.1.1)
Requires-Dist:	pyro-ppl (==1.8.6)
Requires-Dist:	scanpy (<2.0.0,>=1.9.5)
Requires-Dist:	scikit-learn (<2.0.0,>=1.3.1)
Requires-Dist:	scipy (<2.0.0,>=1.11.3)
Requires-Dist:	seaborn (<0.14.0,>=0.13.0)
Requires-Dist:	statsmodels (<0.15.0,>=0.14.0)
Requires-Dist:	tabulate (<0.10.0,>=0.9.0)
Requires-Dist:	tensordict (<0.5.0,>=0.4.0)
Requires-Dist:	torch (<3.0.0,>=2.3.0)
Requires-Dist:	tqdm (<5.0.0,>=4.66.1)
Description-Content-Type:	text/markdown

[Description omitted; length: 4734 characters]

Path	Digest	Size
muvi/__init__.py	sha256=96mR4sUBxdoehx3RqgDdunPzuMMsADs3213BlzIBwJY	582
muvi/core/__init__.py	sha256=9aAisNJ6Q9iXUdOocyaBHGboQQBDycOiCdCx3qQIw0Q	424
muvi/core/callbacks.py	sha256=rSxRq-YkiYi392zMpYxYJ-VGBQ8pI5B_qzc_4LIMxtE	9151
muvi/core/early_stopping.py	sha256=nG9iCs8VRHuvzCVnTNIReq7ig-IPZwvrcIKRnkClukY	1818
muvi/core/gpu.py	sha256=mNA-2wLf7dC9w1mAfM-Elywk8c1TvwEO5YtfXZiDgAI	394
muvi/core/index.py	sha256=Xnd69UXbTpv0HiiiVAG7BfzQUEIeKBAmPhKoSBacH-w	3941
muvi/core/models.py	sha256=E5BBwFe1xn2-w6lWc8VbZ0IF1U0BwIa-8WF7-MfzUUU	72519
muvi/core/synthetic.py	sha256=KrEU5WG8kcFEUkS_NHKfmFvj7Lvow6cRfoGh-76U8H8	22199
muvi/log.conf	sha256=gDFcyufb9375H4-TdSz9vp01JgYJ2NlKQnEXU6SQoPw	285
muvi/tools/__init__.py	sha256=L1tKckr87lHPOL8SQV8CMUIaGrvHTt5lptb3RzHurTg	108
muvi/tools/cache.py	sha256=8s1RreU4gn4ThWHaZp-qGi1Z98yFGzHr_J2RYno1u1I	4009
muvi/tools/external.py	sha256=_OgXVUPi2Xwo7QJX_c819k9pt_8NVhbz7MO1AwIkqCs	4358
muvi/tools/feature_sets.py	sha256=_Ig9iOXrgwukouHeIEIIf_moQfipBpKu1TFs9UwbcZQ	22083
muvi/tools/plotting.py	sha256=Q3ehzBIh97CnfNPAl4kAxbmsBJnh90Vn-_gY-qwxG_o	37049
muvi/tools/utils.py	sha256=yJWOXaey4k01f2zOlM4DwsIbCGY-ATqEZJ1TECnPZx4	35902
muvi-0.1.5.dist-info/LICENSE	sha256=MOyoiWWQTUyrBL8C--ZAQN2m3JrYTFzULfPjdrvXfu8	1515
muvi-0.1.5.dist-info/METADATA	sha256=GfzyqC3r0AnjfbvSiSJbMCpdRgY-7r-TWb7T5LviN9U	6097
muvi-0.1.5.dist-info/WHEEL	sha256=FMvqSimYX_P7y0a7UY-_Mc83r5zkBZsCYPm7Lr0Bsq4	88
muvi-0.1.5.dist-info/RECORD	—	—