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0.3.0 scslat-0.3.0-py3-none-any.whl

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Project: scslat
Version: 0.3.0
Filename: scslat-0.3.0-py3-none-any.whl
Download: [link]
Size: 36613
MD5: 94f19376d0dd6554e6ba4df014524a57
SHA256: 63b07846196f11bf67d866f21081ac0a0cc90cb74de2243cc9bd3aa620a4f598
Uploaded: 2024-12-20 14:17:14 +0000

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METADATA · WHEEL · RECORD · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: scSLAT
Version: 0.3.0
Summary: A graph deep learning based tool to align single cell spatial omics data
Author: Chen-Rui Xia
Author-Email: xiachenrui[at]mail.cbi.pku.edu.cn
Home-Page: https://github.com/gao-lab/SLAT
Project-Url: Documentation, https://slat.readthedocs.io/en/latest/
Project-Url: Repository, https://github.com/gao-lab/SLAT
License: MIT
Keywords: bioinformatics,deep-learning,graph-neural-network,single-cell,spatial-omics
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
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Description-Content-Type: text/markdown
[Description omitted; length: 3198 characters]

WHEEL

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RECORD

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scSLAT/metrics.py sha256=PvubmuKh4hzcxy36ZCgeRKMtD5NZE8eaGcPQRerycRk 10775
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scSLAT/model/batch.py sha256=0eKDJwCwbrqEa8jXDlWla0_e3k5qpdxI5NqTVjMeUuY 1952
scSLAT/model/graphconv/__init__.py sha256=gUepwAlc4P1IHIzmScGwlM_S_n_DJ377v7-CWIO2h9E 79
scSLAT/model/graphconv/combnet.py sha256=K07U9Q_AAMqakzJIhc5-hOqtflWzQoV3jzDTesXPvmc 2235
scSLAT/model/graphmodel.py sha256=VDmuhJ2hOsgR-qZdUmusVH3sk2iFP7VIN8D_pY8UK9U 3587
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scSLAT/model/prematch/icp.py sha256=iFgOGKqMEbObk8Kp-5e6bIuwKcfe5BCiZKHhJBhAwNQ 4877
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scSLAT/model/train.py sha256=SDBRU5oVqG6Kry9u09hJFSpLN8n_ftcm3gEpgwG1_jU 5308
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scSLAT/utils.py sha256=thVmLDy2iBlOKgNiRtT-rJX0KKGoWOhTBSeW4I8x1bg 4817
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scslat-0.3.0.dist-info/LICENSE sha256=5YNqDLdw2bl_qtzdfRGvkch2RndAAsAEW33uNsFHiIY 1064
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scslat-0.3.0.dist-info/entry_points.txt sha256=ChX6Hl4Zr2l4qU03tIhvIVadHQwOccIOShIZnj4rTNI 73
scslat-0.3.0.dist-info/RECORD — —

entry_points.txt

[console_scripts]
install_pyg_dependencies = scSLAT.utils:install_pyg_dep