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scCODA

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0.1.9 scCODA-0.1.9-py3-none-any.whl

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Project: scCODA
Version: 0.1.9
Filename: scCODA-0.1.9-py3-none-any.whl
Download: [link]
Size: 36384
MD5: d0db219400fc73387318fe63371ba9b3
SHA256: 5f48321bf951fcc8f3bb0c9a033b19cd00df030a2690f42fa1401fd9d10dfd35
Uploaded: 2023-02-01 13:44:16 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: scCODA
Version: 0.1.9
Summary: A Dirichlet-Multinomial approach to identify compositional changes in count data.
Author: Johannes Ostner, Benjamin Schubert
Author-Email: johannes.ostner[at]helmholtz-muenchen.de
Home-Page: https://github.com/theislab/scCODA
License: BSD
Keywords: RNA,single cell,composition,CODA,compositional analysis
Classifier: License :: OSI Approved :: BSD License
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.7.0
Requires-Dist: numpy (>=1.21)
Requires-Dist: scipy
Requires-Dist: tensorflow (>=2.8)
Requires-Dist: tensorflow-probability (>=0.16.0)
Requires-Dist: arviz (>=0.11)
Requires-Dist: seaborn
Requires-Dist: pandas (>=1.0)
Requires-Dist: matplotlib (>=3.0)
Requires-Dist: scanpy
Requires-Dist: anndata
Requires-Dist: patsy
Requires-Dist: statsmodels
Requires-Dist: rpy2
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 3122 characters]

WHEEL

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

RECORD

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sccoda/model/scCODA_model.py sha256=j3DbDkOs3rEAkvUZB3BNTCcrDjiF78GqjmukI7Fwnws 32426
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sccoda/util/data_generation.py sha256=cB3L6eRuL3XGK50YXkHfTElv7J6FZGfD9MrD03H-2QY 6924
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scCODA-0.1.9.dist-info/RECORD — —

top_level.txt

sccoda