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https://github.com/bayer-group/genie-parser

Python package for processing AACR GENIE data

https://github.com/bayer-group/genie-parser

Science Score: 13.0%

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    CITATION.cff file
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    codemeta.json file
    Found codemeta.json file
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    Scientific vocabulary similarity
    Low similarity (7.0%) to scientific vocabulary

Keywords

bayer-reg-none beat-not-applicable open-source
Last synced: 9 months ago · JSON representation

Repository

Python package for processing AACR GENIE data

Basic Info
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
bayer-reg-none beat-not-applicable open-source
Created about 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme Contributing License Codeowners

README.md

Python module genie

This Python module is for working with data from the AACR genie project. Please see the docmentation at https://Bayer-Group.github.io/genie-parser/ for details.

!!! warning

If you want to contribute to this project by pushing any commits, please copy the git hooks to .git/hooks. This is not automatically done by a git clone. See the README in the git-hooks directory.

Installation of the genie package

It is recommended to create a new virtual environment with Python >= 3.9 and to install the genie package in that environment. Activate the environment and run:

sh pip install "git+https://github.com/Bayer-Group/genie-parser.git"

If you want to install a particular develpment branch, use

sh pip install "git+https://github.com/Bayer-Group/genie-parser.git@BRANCHNAME"

Owner

  • Name: Bayer Open Source
  • Login: Bayer-Group
  • Kind: organization

Science for a better life

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  • Total Committers: 1
  • Avg Commits per committer: 3.0
  • Development Distribution Score (DDS): 0.0
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  • Commits: 3
  • Committers: 1
  • Avg Commits per committer: 3.0
  • Development Distribution Score (DDS): 0.0
Top Committers
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Henrik Seidel h****l@b****m 3
Committer Domains (Top 20 + Academic)
bayer.com: 1

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Last synced: over 1 year ago

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Dependencies

setup.py pypi
  • biopython *
  • importlib_resources *
  • natsort >=8.1.0
  • numpy >=1.22.4
  • pandas >=1.4.2
  • pyarrow *
  • scikit-learn *
  • setuptools >=60.10.0
  • statsmodels *
  • tqdm >=4.64.0