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unitvelo

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0.2.5.2 unitvelo-0.2.5.2-py3-none-any.whl

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Project: unitvelo
Version: 0.2.5.2
Filename: unitvelo-0.2.5.2-py3-none-any.whl
Download: [link]
Size: 38710
MD5: 1dd4188641fa60e1dd822bb1627aebd8
SHA256: 44e74ee6501eaca98f8236d05e8ab6cfa6718d3e9d82d0f0598c22e5b48101f8
Uploaded: 2023-01-12 07:13:31 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: unitvelo
Version: 0.2.5.2
Summary: Temporally unified RNA velocity inference
Author: Mingze Gao
Author-Email: gmz1229[at]connect.hku.hk
Home-Page: https://github.com/StatBiomed/UniTVelo
License: BSD
Keywords: RNA velocity,Unified time,Transcriptomics,Kinetic,Trajectory inference
Classifier: License :: OSI Approved :: BSD License
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Visualization
Requires-Python: >=3.7.0
Requires-Dist: numpy (>=1.20)
Requires-Dist: scikit-learn (>=0.22)
Requires-Dist: pandas
Requires-Dist: scipy (>=1.4.1)
Requires-Dist: seaborn
Requires-Dist: matplotlib (>=3.3.0)
Requires-Dist: tqdm
Requires-Dist: scanpy (>=1.5)
Requires-Dist: statsmodels
Requires-Dist: anndata (>=0.7.5)
Requires-Dist: scvelo (>=0.2.2)
Requires-Dist: IPython
Requires-Dist: ipykernel
Requires-Dist: IProgress
Requires-Dist: ipywidgets
Requires-Dist: jupyter
Requires-Dist: tensorflow (>=2.4.1)
Requires-Dist: multiprocessing (>=3.8); extra == "parallel"
Provides-Extra: parallel
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 4210 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
unitvelo/__init__.py sha256=E1kpXv6VUGscyXXp0NvTekOecVbUkdykFvu9Ii0nom4 701
unitvelo/config.py sha256=efhNtC-rlIGaRhEEksG8mFhxqZONSOL4DaqRix4GV4U 5832
unitvelo/eval_utils.py sha256=oduH8VlDkZZ2zKgXe16MKWM_LnkKKfGCAmo8gZuW4Vk 5866
unitvelo/gene_influence.py sha256=p9dqxiN0wONd4Vv6Jhu5ESUetVjKQhb8znhOxP-ma4o 8501
unitvelo/individual_gene.py sha256=sjmScWIDMCvbjQR-FdJmlgB7ZeZsuoSA0msKY9pacAY 8839
unitvelo/main.py sha256=O3e6gedgCrYEjbA-KMhi1abK8UymWlaLvgZE8qURkBQ 2650
unitvelo/model.py sha256=OeGmKTvUYj1VnUSrer1shkGK9D8I91NPxa4zqapy41k 17825
unitvelo/optimize_utils.py sha256=PoQzCCqUnWrscgy5oQWPOQRKtS4km9sEvj-G7Hx9wkk 12730
unitvelo/pl.py sha256=WTpp8RRVsf_MYQdDQkWH9BCh-1htwKoJ4XvEn9phKbU 11969
unitvelo/utils.py sha256=gmJvwX2j4PFVl059xOt6EiTAWV2XnZ7034fQyhRinbg 22517
unitvelo/velocity.py sha256=l8ByKIsqI4WKASqfdfFKplQ11sFTI0UU0twntovjsQA 11939
unitvelo/velocity_confidence.py sha256=sWLVKFs2PZq8R0l2vpMk6xPoNUWOjO-xUTkCRtqVWL0 2552
unitvelo-0.2.5.2.dist-info/LICENSE sha256=-faMGXH_3jODxdLhOpfqE8HeFN_0ctGerlz8fhd54ZE 1518
unitvelo-0.2.5.2.dist-info/METADATA sha256=rWC4Ow1-rqA1PW6YkYuPZ6-xGCPrQ0kuHE5IPhJEDro 5735
unitvelo-0.2.5.2.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
unitvelo-0.2.5.2.dist-info/entry_points.txt sha256=neVyowwNRjC-nWajlqbCFZtGoDOiEe7RvI5gfl09WuI 53
unitvelo-0.2.5.2.dist-info/top_level.txt sha256=HXBTbPcUotqOQu4yc7lexwqqTPMkfHpOHRUEjyzR_HA 9
unitvelo-0.2.5.2.dist-info/RECORD — —

top_level.txt

unitvelo

entry_points.txt

[console_scripts]
unitvelo = unitvelo.main:run_model