<p>eNetXplorer: an R package for the quantitative exploration of elastic net families for generalized linear models</p>

Julian Candia; John Tsang

doi:10.7490/f1000research.1118105.1

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Candia J and Tsang J. eNetXplorer: an R package for the quantitative exploration of elastic net families for generalized linear models [version 1; not peer reviewed]. F1000Research 2020, 9(ISCB Comm J):805 (poster) (https://doi.org/10.7490/f1000research.1118105.1)

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eNetXplorer: an R package for the quantitative exploration of elastic net families for generalized linear models

Julian Candia¹, John Tsang

Published 30 Jul 2020 (https://doi.org/10.7490/f1000research.1118105.1)

Author Affiliations

¹ National Institutes of Health, USA

Copyright © 2020 Candia J and Tsang 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. The author(s) is/are employees of the US Government and therefore domestic copyright protection in USA does not apply to this work. The work may be protected under the copyright laws of other jurisdictions when used in those jurisdictions.

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Published 30 Jul 2020

eNetXplorer: an R package for the quantitative exploration of elastic net families for generalized linear models
[version 1; not peer reviewed]

Julian Candia¹, John Tsang

Author Affiliations

¹ National Institutes of Health, USA

Presented at

28th International Conference on Intelligent Systems for Molecular Biology (ISMB) 2020

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Software, R package, R, Generalized linear models, Regression, Classification, Regularization, Elastic net, eNetXplorer

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