sarscov2vec

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1.0.0 sarscov2vec-1.0.0-py3-none-any.whl

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Project: sarscov2vec
Version: 1.0.0
Filename: sarscov2vec-1.0.0-py3-none-any.whl
Download: [link]
Size: 6307
MD5: 7cec835337106d6f5455f8a660e7ff99
SHA256: b37cb76cfcf9643491ea903e3fc488129f587600f5a430c0e6a0874e4950b256
Uploaded: 2022-04-15 14:55:58 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: sarscov2vec
Version: 1.0.0
Summary: sarscov2vec is an application of continuous vector space representation on novel species of coronaviruses genomes as the methodology of genome feature extraction step, to distinguish the most common different SARS-CoV-2 variants by supervised machine learning model.
Author: Piotr Tynecki & Marcin Lubocki
Author-Email: p.tynecki[at]doktoranci.pb.edu.pl
Home-Page: https://github.com/ptynecki/sarscov2vec
Download-Url: https://github.com/ptynecki/sarscov2vec/archive/v1.0.0.tar.gz
License: MIT
Keywords: SARS-CoV-2,GISAID,COVID-19,continuous embedding,genome sequence embedding,virus bioinformatics,sequence analysis
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.8
Requires-Dist: fasttext (==0.9.2)
Requires-Dist: scikit-learn (==1.0.2)
Requires-Dist: pandas (==1.4.2)
Requires-Dist: joblib (==1.1.0)
Requires-Dist: biopython (==1.79)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 6984 characters]

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tools