DEWAKSS

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1.0.1 DEWAKSS-1.0.1-py3-none-any.whl

Wheel Details

Project: DEWAKSS
Version: 1.0.1
Filename: DEWAKSS-1.0.1-py3-none-any.whl
Download: [link]
Size: 17338
MD5: 1359a4a4b61493daf031c2e2fb8a563c
SHA256: 5e0a607025d43d098c5fe7a104fb312f9ad2d8fd26f3210a553d28db765ab0c6
Uploaded: 2023-03-22 22:37:28 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: DEWAKSS
Version: 1.0.1
Summary: Denoising Expression data with a Weighted Affinity Kernel and Self-Supervision.
Author: Andreas Tjarnberg
Author-Email: andreas.tjarnberg[at]nyu.edu
Home-Page: https://gitlab.com/Xparx/dewakss
License: LGPL
Requires-Python: >=3.6
Requires-Dist: sparse-dot-mkl
Requires-Dist: umap-learn (>=0.5.0)
Requires-Dist: pynndescent
Requires-Dist: scipy
Requires-Dist: scikit-learn
Requires-Dist: leidenalg
Requires-Dist: pandas
Requires-Dist: scanpy (>=1.5.1)
Requires-Dist: matplotlib
Requires-Dist: seaborn
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.40.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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dewakss/denoise.py sha256=AHHdFz3CEtCEvto9Uetm9lnwlCmrDPjiZJAqWxSt_Yg 35872
dewakss/utils.py sha256=DopD_1WxYLaYXhUcJW9CvU8OPoklgY1drQa7eo0I5_c 11318
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DEWAKSS-1.0.1.dist-info/RECORD

top_level.txt

dewakss