TY - JOUR
T1 - Galaxy-ML
T2 - An accessible, reproducible, and scalable machine learning toolkit for biomedicine
AU - Gu, Qiang
AU - Kumar, Anup
AU - Bray, Simon
AU - Creason, Allison
AU - Khanteymoori, Alireza
AU - Jalili, Vahid
AU - Grüning, Björn
AU - Goecks, Jeremy
N1 - Publisher Copyright:
© 2021 Gu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2021/6
Y1 - 2021/6
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85107233292&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85107233292&partnerID=8YFLogxK
U2 - 10.1371/journal.pcbi.1009014
DO - 10.1371/journal.pcbi.1009014
M3 - Article
C2 - 34061826
AN - SCOPUS:85107233292
SN - 1553-734X
VL - 17
JO - PLoS computational biology
JF - PLoS computational biology
IS - 6
M1 - 1009014
ER -