Wheelodex » Projects » ComSeg

ComSeg

View on PyPI — Reverse Dependencies (0)

1.8.5 ComSeg-1.8.5-py3-none-any.whl

Wheel Details

Project: ComSeg
Version: 1.8.5
Filename: ComSeg-1.8.5-py3-none-any.whl
Download: [link]
Size: 37272
MD5: 3f9df09d75a95b6a402bca8b14c61ed9
SHA256: d56586910dadc5fad7f533f373f02f741f576c2a0d08241c6d039a1ff822fa1c
Uploaded: 2025-02-06 11:25:46 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: ComSeg
Version: 1.8.5
Summary: single cell RNA profiling analysis of imaging-based spatial transcriptomics data
Author-Email: Thomas Defard <thomas.defard[at]mines-paristech.fr>
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Requires-Dist: anndata (>=0.9.2)
Requires-Dist: h5py (>=3.9.0)
Requires-Dist: networkx (>=2.8.4)
Requires-Dist: numba (>=0.55.2)
Requires-Dist: numpy (>=1.22.4)
Requires-Dist: pandas (>=1.4.0)
Requires-Dist: Pillow (>=10.0.1)
Requires-Dist: pyarrow (>=13.0.0)
Requires-Dist: rpds-py (>=0.10.3)
Requires-Dist: scanpy (>=1.9.5)
Requires-Dist: scikit-image (>=0.21.0)
Requires-Dist: scikit-learn (>=1.0.1)
Requires-Dist: scikit-misc (>=0.2.0)
Requires-Dist: scipy (>=1.8.1)
Requires-Dist: seaborn (>=0.12.2)
Requires-Dist: tifffile (>=2023.7.10)
Requires-Dist: tinycss2 (>=1.2.1)
Requires-Dist: tqdm (>=4.66.1)
Requires-Dist: traitlets (>=5.11.2)
Requires-Dist: umap-learn (>=0.5.4)
Requires-Dist: webencodings (>=0.5.1)
Requires-Dist: zipp (>=3.16.2)
Requires-Dist: alphashape (>=1.3.1)
Requires-Dist: igraph (>=0.11.5)
Requires-Dist: leidenalg (>=0.10.2)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 863 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.3.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
__init__.py sha256=HhNa-1S_lI7WFrflGOqfWcjtrZWi0d-66K3GCxZ8X2w 9
comseg/__init__.py sha256=SFaSaRhEu4lfIg1x6TsbbwPudJGEN8yns-ca_iLxEHM 416
comseg/clustering.py sha256=p46puGlhaotxfoY9jFIViUHDVIDYrxJS7eEoi39XbE0 19040
comseg/dataset.py sha256=F1gEZ1AGW8TTNkmuZGJCiDOImLHPjodT-34HlYzi3LA 22262
comseg/dictionary.py sha256=J3Mp737QMBeT1dQzNRmBQljooZSJlWyTZMV0EZQDS5A 28609
comseg/model.py sha256=pWN2tc4Pzlz8dact6CwHg3m7dTQEjjeXbs3fZvQ7ELI 40240
comseg/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
comseg/utils/custom_louvain.py sha256=MCmLXVYLyYrzvpqJrrz4FvQgkCVug4QJEvs6Fw7BnkY 12864
comseg/utils/plot.py sha256=4pYhZXpNN_Qbh5XbpsInd9B2t71Vmg5itaBojwfqaDk 2014
comseg/utils/preprocessing.py sha256=EAp0GaHdmp8I3xzO6ht0tqL7xCPCCm5-MBnnp8MGCVE 9123
comseg/utils/utils_graph.py sha256=E5PoPvYG1_4Ky4LXMYSilBSYfqNehgikJ9WT3sfhVrw 3372
ComSeg-1.8.5.dist-info/LICENSE sha256=M-CCpNer3hKsbyP9_fuziCduBAhdbwsFt41JY-AWHvI 1056
ComSeg-1.8.5.dist-info/METADATA sha256=KG0P69B_w7MBivk9qFGMR92ZszFSqcpeOhTUQUyE3Vg 2102
ComSeg-1.8.5.dist-info/WHEEL sha256=P9jw-gEje8ByB7_hXoICnHtVCrEwMQh-630tKvQWehc 91
ComSeg-1.8.5.dist-info/top_level.txt sha256=mBSRYN57iU8DjCI8cUw0jayZpUcAoRK5fQBzqJBSKC0 16
ComSeg-1.8.5.dist-info/RECORD — —

top_level.txt

__init__
comseg