<p><i>In silico</i> stratification of ALS patients using machine learning algorithms</p>

Albert A. Taylor; Samad Jahadideh; Danielle Beaulieu; Mike Keymer; David L. Ennist

doi:10.7490/f1000research.1113585.1

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Taylor AA, Jahadideh S, Beaulieu D et al. In silico stratification of ALS patients using machine learning algorithms [version 1; not peer reviewed]. F1000Research 2017, 6:3 (poster) (https://doi.org/10.7490/f1000research.1113585.1)

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In silico stratification of ALS patients using machine learning algorithms

Albert A. Taylor, Samad Jahadideh, Danielle Beaulieu, Mike Keymer, David L. Ennist¹

Published 03 Jan 2017 (https://doi.org/10.7490/f1000research.1113585.1)

Author Affiliations

¹ Origent Data Sciences, Inc., USA

Copyright © 2017 Taylor AA 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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CITE

Published 03 Jan 2017

In silico stratification of ALS patients using machine learning algorithms
[version 1; not peer reviewed]

Albert A. Taylor, Samad Jahadideh, Danielle Beaulieu, Mike Keymer, David L. Ennist¹

Author Affiliations

¹ Origent Data Sciences, Inc., USA

Presented at

27th International Symposium on ALS/MND 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

ALS, stratification, disease progression prediction, machine learning

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In silico stratification of ALS patients using machine learning algorithms

In silico stratification of ALS patients using machine learning algorithms [version 1; not peer reviewed]

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In silico stratification of ALS patients using machine learning algorithms
[version 1; not peer reviewed]