Galaxy-ML: An accessible, reproducible, and scalable machine learning toolkit for biomedicine.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 34061826.
- Also identified by DOI 10.1371/journal.pcbi.1009014 and PMC identifier 8213174.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.
Medical subject headings
- Computational Biology
- Machine Learning