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ACTIONet

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0.4.1 ACTIONet-0.4.1-cp39-cp39-manylinux1_x86_64.whl
ACTIONet-0.4.1-cp39-cp39-manylinux_2_35_x86_64.whl
ACTIONet-0.4.1-cp38-cp38-manylinux1_x86_64.whl
ACTIONet-0.4.1-cp38-cp38-macosx_10_9_x86_64.whl
ACTIONet-0.4.1-cp38-cp38-manylinux_2_35_x86_64.whl
ACTIONet-0.4.1-cp311-cp311-manylinux1_x86_64.whl
ACTIONet-0.4.1-cp311-cp311-macosx_10_9_x86_64.whl
ACTIONet-0.4.1-cp311-cp311-manylinux_2_35_x86_64.whl
ACTIONet-0.4.1-cp310-cp310-manylinux1_x86_64.whl
ACTIONet-0.4.1-cp310-cp310-macosx_10_9_x86_64.whl
ACTIONet-0.4.1-cp310-cp310-manylinux_2_35_x86_64.whl
ACTIONet-0.4.1-cp310-cp310-manylinux_2_31_x86_64.whl

Wheel Details

Project: ACTIONet
Version: 0.4.1
Filename: ACTIONet-0.4.1-cp38-cp38-macosx_10_9_x86_64.whl
Download: [link]
Size: 4974970
MD5: f6cd074b9e0c981be5ed85a286bfbe87
SHA256: 85c89642b2bf3a1974c482d114bd6a33a1027c031f1ab5805bbec9b7d98263dc
Uploaded: 2023-06-09 15:29:37 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: ACTIONet
Version: 0.4.1
Summary: ACTIONet single-cell analysis framework
Author: Shahin Mohammadi
Author-Email: shahin.mohammadi[at]gmail.com
Home-Page: https://github.com/shmohammadi86/ACTIONet
Requires-Python: >=3.8
Requires-Dist: adjustText (>=0.7.3)
Requires-Dist: anndata (>=0.8.0)
Requires-Dist: cmake
Requires-Dist: cython
Requires-Dist: h5py (>=3.0)
Requires-Dist: mypy
Requires-Dist: natsort (>=7.0.1)
Requires-Dist: nbsphinx
Requires-Dist: numpy (>=1.19.2)
Requires-Dist: orca
Requires-Dist: pandas (>=1.1.5)
Requires-Dist: plotly
Requires-Dist: scanpy (>=1.9.1)
Requires-Dist: scipy (>=1.5.2)
Requires-Dist: seaborn
Requires-Dist: setuphelpers
Requires-Dist: sphinx
Requires-Dist: sphinx-rtd-theme
Requires-Dist: typing-extensions (>=3.7.4)
Description-Content-Type: text/markdown
[Description omitted; length: 4619 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: false
Tag: cp39-cp39-macosx_13_0_x86_64

RECORD

Path Digest Size
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ACTIONet-0.4.1.dist-info/RECORD — —
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ACTIONet-0.4.1.dist-info/top_level.txt sha256=Q67E93CyWaq3f9iDp4HRaG8cMV2uYiR6dNGvzic509c 19
ACTIONet-0.4.1.dist-info/METADATA sha256=AXTOA6ElrRTkI3xf5g49WePAmKg8IMVgbbGeZGKV5bA 5437
ACTIONet/__init__.py sha256=fvGTS6uaT-n26LsCMDeqRcO1zMMulp3rR8_ZEoBS5tM 328
ACTIONet/main.py sha256=HHSNPJQVnGJQ9gTX4gCQz1T4Xy8-MZ3j8ATcL9Lhe18 7118
ACTIONet/tools/__init__.py sha256=UaURidchjgKfy68-YfrZJQQGQE9OO7Nw-Xlx6lKlORo 58
ACTIONet/tools/utils_internal.py sha256=Yo-IsPL-vpZ3L-FBBSmOC3FWaN0lDpoec-erIlx8hR4 230
ACTIONet/tools/utils_public.py sha256=Suv_o5yr5CRpqzVvVwWv5DFoNdolm0yyMrFIHEHLUDA 5017
ACTIONet/network/build.py sha256=I2tT9zrmBQ-VH0-lEUqNsuEbqccpDI25UGXyqJC_3wg 3534
ACTIONet/network/diffusion.py sha256=s6-cglRjLUKxlXomo3APIGD4TU9R6H8LT7xMlmFEt_8 4584
ACTIONet/network/layout.py sha256=mt4bqBoMoqDCeQY_ZA_ZKDjpdwWHvTt_Jvr7onLXRV8 4637
ACTIONet/network/__init__.py sha256=ThO9zxcp1AH2MGIrFccrEvb519lTW2Ali8B-Nx1TwCc 175
ACTIONet/network/centrality.py sha256=1Jv3yP2JglLp0TYzLOQBUkn3MIQg4u-t29fwNd31ODA 4145
ACTIONet/network/propagation.py sha256=Jkbh2bura_o23uVWpTRLpPn15T590gArBUyCyWeKgEw 4352
ACTIONet/network/cluster.py sha256=zej97_J0ElF7yu96-LxzMtr0GjwXrnP3O7LFJ0ABssY 3987
ACTIONet/network/autocorrelation.py sha256=JXCaR_zGBCivG_ELV31-J9ZCruFz6TQ9odB4YCtFfwI 7509
ACTIONet/.dylibs/libsuitesparseconfig.7.0.1.dylib sha256=VG4EDPoJh9QMmZARmLXgRpql8UxKkHom7a0tCSpPbLE 70608
ACTIONet/.dylibs/libcamd.3.0.3.dylib sha256=Q1KATXJsgYKqLlGtUJOAUHc9OlxwnAiuQLislv264us 69344
ACTIONet/.dylibs/libspqr.3.0.3.dylib sha256=97iaK2leICyQisQl0r3uqdS-FrUa58mVENrsw4ZaLzI 198000
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ACTIONet/.dylibs/libmetis.dylib sha256=rpaSiD-lla17E_xfExq_EKXeBJHxcggRb8NeZLvdmUs 366544
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ACTIONet/postprocessing/clusters.py sha256=bOZixpib_zw9b96h1Gqq2khDLqC8-COOz8luLfyohxw 6770
ACTIONet/postprocessing/__init__.py sha256=UTgDyG9RUVPwmMg-dNl6F-0FoEtdpyJPJzp8FD1o2A4 42
ACTIONet/postprocessing/genes.py sha256=LaTeGbcqVX3uvGExCUEQs1_fhwwpBpKz6IqSuEcZPow 2722
ACTIONet/postprocessing/cells.py sha256=JI50dyzKMdzpnzZ45oeqBUMBPKWry08RjJYPcJp0UV4 8859
ACTIONet/plotting/plot.py sha256=e13uceA43oTcJXdRreZ7ozMlwQaTx1-69vAvlC1cCkk 12006
ACTIONet/plotting/color.py sha256=2eCg47LyYhbhpsPLbAR8kzBKkCWC75wCjPKrHUcU7LE 1883
ACTIONet/plotting/palettes.py sha256=0CgL8DHZA9w8MH7SjOa3ESZ5eziHBMFIHQmHa794GZM 1612
ACTIONet/plotting/__init__.py sha256=JqJVkKVP_5yF3CIq7tIvk-lFmqhi_GLj7-PaAM-Tdcc 85
ACTIONet/plotting/utils.py sha256=YcePR5fWp8XPwigALx8fpHXv_QStKjM6Ivgd9ORfjk0 12465
ACTIONet/preprocessing/reduction.py sha256=naXTLD65Lt6Vnh2qBRAa4uEU6m3Bvu-a4kZzVVodSq4 9286
ACTIONet/preprocessing/__init__.py sha256=JFYKNqyZWAksxBGijpMB2UAUeNfaIi8rlb5VcAZxQvM 76
ACTIONet/preprocessing/filter.py sha256=GD8rv9UjE3Kij3A4TEfrfNWnZIj6geEfMLLfbZjOh-s 2374
ACTIONet/preprocessing/normalization.py sha256=9uqKGqzLt4CwDEd6vDhtVAtl8UYFaiyBVsl-zHWZ6aw 4823
ACTIONet/decomposition/regression.py sha256=Bnz9qM5Hbi1GwTl6_bMEsVDB0SbLeFGX4n7ArbwQbBk 671
ACTIONet/decomposition/__init__.py sha256=lHRqBwgc8rG9Pdy_WvrfnEh_D9Fx-92SG4rCqDXLuU0 83
ACTIONet/decomposition/action.py sha256=LLc7demp-dQYjbR235lqkrG5zpxjvbcSj4Ye4jR7yUs 8837
ACTIONet/decomposition/spa.py sha256=52oVCw8oprnOPlfQXNkCij23Se464Bpn0wwB5t6neAA 6480
ACTIONet/decomposition/actionmr.py sha256=MvtUe7pLuRnS6El_eeAwhlGdF4UYFx_LmGFOKFjej7Y 15985
ACTIONet/decomposition/utils.py sha256=0jw0BlgesSIQlIX-tSDHNJrpg-_KJRKC6z7pMC2Bnj8 7334
ACTIONet/decomposition/aa.py sha256=bHtJMK0gZQhgfXL7Xpj6u5nVaoYmLQhx7crDa52aPxY 9255

top_level.txt

ACTIONet
_ACTIONet