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

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Edition: Version 2
• Language: Englisch
• Notes: PLOS computational biology. - 17, 6 (2021) , e1009014, ISSN: 1553-7358

Contributors, Places and Time

• Event: Veröffentlichung
• (where): Freiburg
• (who): Universität
• (when): 2024
• Creator: Gu, Qiang ; Kumar, Anup ; Bray, Simon A. ; Creason, Allison ; Khanteymoori, Alireza ; Jalili, Vahid ; Grüning, Björn ; Goecks, Jeremy

Further information

• DOI: 10.1371/journal.pcbi.1009014
• URN: urn:nbn:de:bsz:25-freidok-2478148
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 25.03.2025, 1:42 PM CET