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

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.

SUBMITTER: Gu Q

PROVIDER: S-EPMC8213174 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature

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

Gu Qiang Q Kumar Anup A Bray Simon S Creason Allison A Khanteymoori Alireza A Jalili Vahid V Grüning Björn B Goecks Jeremy J

PLoS computational biology 20210601 6

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 scien ...[more]

PMID: 34061826

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