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A graphical interface for sklearn classification to introduce machine learning to biologists

Project description


PyPI Test ml4bio

This package is a graphical interface wrapper for sklearn classification. It is intended to be used with the ML4Bio workshop training materials.

Python environment


  • Python 3.5
  • pandas
  • numpy
  • sklearn
  • matplotlib
  • pyqt 5
  • scipy

See conda_env.yml for one set of compatible package versions. Create the ml4bio conda environment with the command conda env create -f conda_env.yml. Activate the environment with conda activate ml4bio.

The full Anaconda installation also provides all required dependencies.


The ML4Bio workshop repository provides scripts for installing and launching the ml4bio GUI. Once the ml4bio package and its dependencies have been installed, the GUI can be launched using the ml4bio command from the command line.


An approachable, flexible, and practical machine learning workshop for biologists.
Chris S Magnano, Fangzhou Mu, Rosemary S Russ, Milica Cvetkovic, Debora Treu, Anthony Gitter.
bioRxiv, 2022. doi:10.1101/2022.02.03.479008

Third party materials

The icons in the ml4bio/icons directory were downloaded from under the Creative Commons license. Instructions on how to give credit to the creators: link

Add this attribution where appropriate:

Created by sachin modgekar from Noun Project.

Project details

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ml4bio-0.1.5.tar.gz (215.6 kB view hashes)

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ml4bio-0.1.5-py3-none-any.whl (220.2 kB view hashes)

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