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Public Library of Science, PLoS Computational Biology, 6(17), p. e1009014, 2021

DOI: 10.1371/journal.pcbi.1009014

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Galaxy-ML: An accessible, reproducible, and scalable machine learning toolkit for biomedicine

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Supervised machine learning is an essential but difficult to use approach in biomedical data analysis. The Galaxy-ML toolkit (https://galaxyproject.org/community/machine-learning/) makes supervised machine learning more accessible to biomedical scientists by enabling them to perform end-to-end reproducible machine learning analyses at large scale using only a web browser. Galaxy-ML extends Galaxy (https://galaxyproject.org), a biomedical computational workbench used by tens of thousands of scientists across the world, with a suite of tools for all aspects of supervised machine learning.