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

14Citations
Citations of this article
34Readers
Mendeley users who have this article in their library.
Get full text

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.

Cite

CITATION STYLE

APA

Gu, Q., Kumar, A., Bray, S., Creason, A., Khanteymoori, A., Jalili, V., … Goecks, J. (2021). Galaxy-ML: An accessible, reproducible, and scalable machine learning toolkit for biomedicine. PLoS Computational Biology, 17(6). https://doi.org/10.1371/journal.pcbi.1009014

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free