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0.6 grnm-0.6-py3-none-any.whl

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Project: grnm
Version: 0.6
Filename: grnm-0.6-py3-none-any.whl
Download: [link]
Size: 20207
MD5: 530405c03ad359d5c3253956515a536d
SHA256: 816125fa5346ce1bda4edafe9543b5feee7b39e905dfdf20242a7cf250e4645e
Uploaded: 2024-04-15 01:23:05 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: grnm
Version: 0.6
Summary: A comprehensive tool for gene regulatory network modeling.
Author: heay
Author-Email: hyjd21[at]gmail.com
License: MIT
Keywords: gene regulatory networks,bioinformatics,graph models,network analysis
Requires-Python: >=3.7
Requires-Dist: numpy (>=1.22.0)
Requires-Dist: pandas (==2.0.3)
Requires-Dist: python-louvain (==0.16)
Requires-Dist: matplotlib (==3.7.2)
Requires-Dist: networkx (==3.2.1)
Requires-Dist: scikit-learn
Requires-Dist: torch (==2.2.1)
Requires-Dist: dgl
Requires-Dist: umap-learn (==0.5.3)
Requires-Dist: seaborn (==0.13.2)
[Description omitted; length: 3162 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
grnm.py sha256=8Qfkv6ehG_vxuNZ3xyUvQXN-DkM4XaL7FjkrHA9kdLY 5234
clustering/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
clustering/louvain_clustering.py sha256=35iwtJ-1-Cj0PpmWNT2CHpIbp2RUA9wBbumiHioOaD8 2310
dimensionality_reduction/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
dimensionality_reduction/graph_autoencoder.py sha256=gsFICfXBpOrQMV0BHBfdIuLo2y3g5PfNWRjwC52hK7Q 13489
dimensionality_reduction/graph_preprocessing.py sha256=cUh8tD5HH6LYzqKlemaKZHKqzf79ZCo97QqZqrrr-xs 5938
dimensionality_reduction/pca_preprocessing.py sha256=vcwvPREMNEsHEbBV66nFE4gcmc9xgp_YntCGYZk5SZo 5237
dimensionality_reduction/umap_preprocessing.py sha256=eS-YkrH_DZX364zo6u2i_845hgZMUkSoCRNGw-vwjkM 4233
plotting/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
plotting/generate_heatmap.py sha256=UfIlr1fMvNXUErNvC22-5lanyxEpMNYhyt6WkycQ5_c 1925
plotting/grn_visualization.py sha256=QcCa0ig0yxUC_7gLR9YnsejjrOgPxxk5LvCJM2IYWKI 7540
plotting/module_target_visualization.py sha256=YK0GuyUNBY6a9hWkMAKbxB2k4GDeZDkBc33WuAttY0Q 2810
preprocessing/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
preprocessing/edgeadjacency.py sha256=Wfy3bZsZQBb9KoqsRlkNgW7J3fWQTSGXZ3Wwc7tXoE0 1026
preprocessing/markgenepre.py sha256=JduQS5kfG3_VMpetl5iyw9cB450VDKlhiMCfu2Rkhls 625
grnm-0.6.dist-info/METADATA sha256=v97vsmWbgM-r8pbUkIO7yIl8asAPfs7Pi4Hp_kLdklI 3834
grnm-0.6.dist-info/WHEEL sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo 92
grnm-0.6.dist-info/top_level.txt sha256=mUkMcpavMT6Y0MZhmHH9FHxg4mYGZfQMpVEUwhImkm0 50
grnm-0.6.dist-info/RECORD — —

top_level.txt

clustering
dimensionality_reduction
grnm
plotting