<p>A machine learning pipeline for the identification of predictive biomarkers and its application to knee osteoarthritis</p>

Nicola Lazzarini; Jaume Bacardit

doi:10.7490/f1000research.1114794.1

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Lazzarini N and Bacardit J. A machine learning pipeline for the identification of predictive biomarkers and its application to knee osteoarthritis [version 1; not peer reviewed]. F1000Research 2017, 6(ISCB Comm J):1566 (poster) (https://doi.org/10.7490/f1000research.1114794.1)

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A machine learning pipeline for the identification of predictive biomarkers and its application to knee osteoarthritis

Nicola Lazzarini, Jaume Bacardit¹

Published 25 Aug 2017 (https://doi.org/10.7490/f1000research.1114794.1)

Author Affiliations

¹ Newcastle University, UK

Copyright © 2017 Lazzarini N and Bacardit J. 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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CITE

Published 25 Aug 2017

A machine learning pipeline for the identification of predictive biomarkers and its application to knee osteoarthritis
[version 1; not peer reviewed]

Nicola Lazzarini, Jaume Bacardit¹

Author Affiliations

¹ Newcastle University, UK

Presented at

Joint 25th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and 16th European Conference on Computational Biology (ECCB) 2017

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Machine learning, biomarkers, rgife, oa, osteoarhritis

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