Wheelodex » Projects » FineST

FineST

View on PyPI — Reverse Dependencies (0)

0.0.9 FineST-0.0.9-py3-none-any.whl

Wheel Details

Project: FineST
Version: 0.0.9
Filename: FineST-0.0.9-py3-none-any.whl
Download: [link]
Size: 59096
MD5: 6104c5007a054a71e6ff361ddb4cd415
SHA256: f782473836a7474ab00723f42e2ede19663186d16afca173fba61ac3af920c49
Uploaded: 2024-12-18 15:04:19 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: FineST
Version: 0.0.9
Summary: FineST: Fine-grained Spatial Transcriptomic
Author: ['Lingyu Li', 'Yuanhua Huang']
Author-Email: lingyuli[at]hku.hk
Home-Page: https://github.com/LingyuLi-math/FineST
License: Apache-2.0
Keywords: Spatial transcriptomics,HE stained images,Cell-cell communication,Ligand-recptor interaction
Requires-Dist: anndata (==0.9.2)
Requires-Dist: scanpy (==1.9.8)
Requires-Dist: SpatialDE
Requires-Dist: SpatialDM (==0.2.0)
Requires-Dist: SparseAEH (==0.1.0)
Requires-Dist: pyarrow (==17.0.0)
Requires-Dist: pykdtree (==1.3.7)
Requires-Dist: scikit-image
Requires-Dist: numpy (>=1.9.0)
Requires-Dist: scipy (>=1.4.0)
Requires-Dist: statsmodels (>=0.11)
Requires-Dist: pandas (==2.0.3)
Requires-Dist: h5py (==3.10.0)
Requires-Dist: openpyxl (==3.1.5)
Requires-Dist: brokenaxes (==0.6.2)
Requires-Dist: pyreadr (==0.5.2)
Requires-Dist: squidpy (==1.2.3)
Requires-Dist: stardist (==0.9.1)
Requires-Dist: tensorflow (==2.13.1)
Requires-Dist: matplotlib (>=3.1.2)
Requires-Dist: holoviews
Requires-Dist: seaborn (==0.13.2)
Requires-Dist: selenium
Requires-Dist: plotly (==5.24.1)
Requires-Dist: tenacity (==9.0.0)
Requires-Dist: nbformat (==5.10.4)
Requires-Dist: kaleido (==0.2.1)
Requires-Dist: numpy
Requires-Dist: scikit-learn (>=0.23)
Requires-Dist: hilearn
Requires-Dist: threadpoolctl
Requires-Dist: tqdm
Requires-Dist: sphinx-bootstrap-theme; extra == "docs"
Provides-Extra: docs
Description-Content-Type: text/x-rst
License-File: LICENSE
[Description omitted; length: 14976 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.1.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
FineST/SparseAEH.py sha256=PIuS2LDHh0IBvaM5_NxA6VdWA_T3cSO_5OUoug12suQ 16602
FineST/SpatialDM.py sha256=192gK79tDe2I0fpQTLNRKDt6-7kLrXtj382ufRprbtk 32400
FineST/__init__.py sha256=Sdr0bcPtZ0rrXueNLP0tRU6_9yh6WwUaDhB0bKMeXPY 394
FineST/celltype.py sha256=HCnXjz54zHXQAekWCXpcp_HLv9PEE2-QEvSHaMA1NnI 347
FineST/cropping.py sha256=PQmElWEnFQuXGC7pHpcoxh83MT_ia3Rj2seh_QCaeGw 5749
FineST/evaluation.py sha256=J6KIDyvjeuiMPiFHX9tOyR1Bk6gJfR2YPq1u2L9lIvk 7624
FineST/inference.py sha256=zVVqulwQ4-vZL4dcVHtVG3FHYlkqhIwuoi_dWfkLSrM 7155
FineST/loadData.py sha256=iDb4aConxtUeR3_endoqtvbgaZIRI5kZ0_N3Snk8e54 8702
FineST/model.py sha256=LaHISf1qSo8r0_PUC_Kecf9pZsUmpbM4RLOG8ZKNYHw 17700
FineST/plottings.py sha256=1RlFw3v8Z86qW7WEJIrMGLAluofjtMqCDXoeeKpNRRg 58225
FineST/processData.py sha256=VsPYNw2-EsIZ8_RRP25mR0Fo54I6KF3_4K6PK_qE5eE 18087
FineST/train.py sha256=kl4ExDE71aAAITbmQKPmbAFj72eey6hzHXyEfE0HtzI 6587
FineST/utils.py sha256=nmb7yjC7BKyFg4NOpOFd2hdloj5v4AIYmBIU3_lL6D8 7707
FineST/version.py sha256=VkqKNhCu7_SPtm2SJjQ7vIeLd6wBQJZl_t1N5uPUZuc 22
FineST/datasets/__init__.py sha256=5KHMpKGK31PRWfdaiM5gmcs3gyTcCQQEv8W_8U1C6hI 37
FineST/datasets/_util_dataset.py sha256=pgo7p2WTXWp7W47kZ3eRd8e0W1ZDjY6M_VxGVRv3VqA 5571
FineST/datasets/dataset.py sha256=63gy7RNeXomKkAEIv5J4zYHZhkHJykaYwOVqU4Tz6n8 3976
FineST-0.0.9.dist-info/LICENSE sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ 11357
FineST-0.0.9.dist-info/METADATA sha256=Z5oz1HZTKq_eGxsEseXwnGaaJJLgg1fHMfZ3x7lFUM0 16394
FineST-0.0.9.dist-info/WHEEL sha256=GV9aMThwP_4oNCtvEC2ec3qUYutgWeAzklro_0m4WJQ 91
FineST-0.0.9.dist-info/top_level.txt sha256=RYYTmlZ8WhQw7EaO65qKQ33vBmvIobBIb3WGFslubVE 7
FineST-0.0.9.dist-info/RECORD — —

top_level.txt

FineST