<p>Galaxy-ML: An accessible, reproducible and scalable machine learning toolkit for biomedicine</p>

Qiang Gu; Anup Kumar; Simon Bray; Allison Creason; Alireza Khanteymoori; Vahid Jalili; Björn Grüning; Jeremy Goecks; Kaivan Kamali

doi:10.7490/f1000research.1118621.1

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Gu Q, Kumar A, Bray S et al. Galaxy-ML: An accessible, reproducible and scalable machine learning toolkit for biomedicine [version 1; not peer reviewed]. F1000Research 2021, 10:605 (slides) (https://doi.org/10.7490/f1000research.1118621.1)

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

Qiang Gu, Anup Kumar, Simon Bray, Allison Creason, Alireza Khanteymoori, Vahid Jalili, Björn Grüning, Jeremy Goecks¹, Kaivan Kamali

Published 19 Jul 2021 (https://doi.org/10.7490/f1000research.1118621.1)

Author Affiliations

¹ Department of Biomedical Engineering, Oregon Health and Science University, Portland, USA

Copyright © 2021 Gu Q et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 19 Jul 2021

Galaxy-ML: An accessible, reproducible and scalable machine learning toolkit for biomedicine
[version 1; not peer reviewed]

Qiang Gu, Anup Kumar, Simon Bray, Allison Creason, Alireza Khanteymoori, Vahid Jalili, Björn Grüning, Jeremy Goecks¹, Kaivan Kamali

Author Affiliations

¹ Department of Biomedical Engineering, Oregon Health and Science University, Portland, USA

Presented at

Galaxy Community Conference, 2021

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Galaxy, Biomedicine, Machine Learning

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