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1.3.0 sdeper-1.3.0-py3-none-any.whl

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Project: sdeper
Version: 1.3.0
Filename: sdeper-1.3.0-py3-none-any.whl
Download: [link]
Size: 79281
MD5: 40c7b399d71ae1eadebbbeefa273ec83
SHA256: 54ebff1bc7eb2a78a8603dd90704269fe854160418eb80fc2102b742356e171d
Uploaded: 2024-05-09 04:09:45 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: sdeper
Version: 1.3.0
Summary: Spatial Deconvolution method with Platform Effect Removal
Author: Ningshan Li
Author-Email: hill103.2[at]gmail.com
Home-Page: https://az7jh2.github.io/SDePER/
Project-Url: Documentation, https://sdeper.readthedocs.io/en/latest/
Project-Url: Source, https://github.com/az7jh2/SDePER
Project-Url: Changelog, https://sdeper.readthedocs.io/en/latest/changelog.html
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Operating System :: POSIX :: Linux
Requires-Python: >=3.9.12, <3.11
Requires-Dist: numpy (==1.22.4)
Requires-Dist: scipy (==1.8.1)
Requires-Dist: pandas (==1.4.3)
Requires-Dist: networkx (==2.8.4)
Requires-Dist: matplotlib (==3.5.2)
Requires-Dist: scikit-learn (==1.1.1)
Requires-Dist: numba (==0.55.2)
Requires-Dist: openpyxl (==3.0.10)
Requires-Dist: tensorflow-cpu (==2.9.1)
Requires-Dist: scanpy (==1.9.1)
Requires-Dist: scikit-misc (==0.1.4)
Requires-Dist: seaborn (==0.11.2)
Requires-Dist: umap-learn (==0.5.3)
Requires-Dist: distinctipy (==1.2.2)
Requires-Dist: reportlab (==4.1.0)
Requires-Dist: opencv-python (==4.6.0.66)
Description-Content-Type: text/markdown
[Description omitted; length: 2592 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
admm_fit.py sha256=-B5PySfx0Tmpvsy4nBN4hirsQNjpl9CnEO9DYEEsDmc 17314
config.py sha256=2iZjj4lvg1muNOYFz2f58j6yD9ddqL6sUe2xTUB3ymE 3091
cvae.py sha256=bLTfU-43PuwoD-QEYcRhdimT9LLa1-YZLeY4leeaMuw 52101
cvaeglrm.py sha256=D-JKI7bhc03Yhkj3031r4qLQFlY65eL3YgH1UxztzKY 5604
diagnosis_plots.py sha256=UsAz8G4kBvilS3kHsz39unGFLJs39HADFyvzeXJmijo 31469
hyper_parameter_optimization.py sha256=1RZV7Ze6KNAJ8_Ro8yWQKeYZz9WanFry3KjE8aiZQRw 26645
imputation.py sha256=Y6opQBiR0wiLpWf-Wyf1OFCyi0YgtpHt-8C1Z69cqaE 21972
local_fit_numba.py sha256=nqouZNF1tda5pl3s8se3l0OgJL7n9cfWZsQcJ70PR6c 49987
model_fit.py sha256=XqFuS51Pf3WBfDcNqsZN8D2InQgvBRb4rOE4i39o_L8 21352
parse_opt.py sha256=9S73uJH7Bf_v6_g6NIg-2zUf-5EhT-lfq7jJjpjir8k 55951
preprocess.py sha256=st29pFUWlXHcpfqoNZSLZTTLzLiQUlRPTcOc9-LQn-Y 13244
run_model.py sha256=lov8zsx7q0y869RDMedaXBMTBfSOScdnGXnwRe9Hi0Q 7454
utils.py sha256=ddrtcDWdD8l0pGdklPPsTXmms0cd5-SXqwaHpxMlCDI 25297
version.py sha256=tP8c5-8yPCRUk61qFQy1AQFkbfy99N-tga3OUiJT1MA 21
sdeper-1.3.0.dist-info/METADATA sha256=6Vjlbg-1JeiT0aQxQedBPZ19wwxErQx5VOJCbYOlL6o 3873
sdeper-1.3.0.dist-info/WHEEL sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ 92
sdeper-1.3.0.dist-info/entry_points.txt sha256=MGgHrdGypoaN_hAH6b626I9WHCARW8R2xR6NHOO4838 83
sdeper-1.3.0.dist-info/top_level.txt sha256=Eu8D_LlJV3Foqu8L_LReoRlKFLYYmEUaCrVIbaTIoZo 166
sdeper-1.3.0.dist-info/RECORD — —

top_level.txt

__init__
admm_fit
config
cvae
cvaeglrm
diagnosis_plots
hyper_parameter_optimization
imputation
local_fit_numba
model_fit
parse_opt
preprocess
run_model
utils
version

entry_points.txt

[console_scripts]
runDeconvolution = cvaeglrm:main
runImputation = imputation:main