<p>A robust approach for discovery of synergistic variables</p>

Krzysztof Mnich; Witold R. Rudnicki

doi:10.7490/f1000research.1113015.1

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Mnich K and Rudnicki WR. A robust approach for discovery of synergistic variables [version 1; not peer reviewed]. F1000Research 2016, 5:2181 (poster) (https://doi.org/10.7490/f1000research.1113015.1)

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A robust approach for discovery of synergistic variables

Krzysztof Mnich¹, Witold R. Rudnicki

Published 02 Sep 2016 (https://doi.org/10.7490/f1000research.1113015.1)

Author Affiliations

¹ University of Białystok, Poland

Copyright © 2016 Mnich K and Rudnicki WR. 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 02 Sep 2016

A robust approach for discovery of synergistic variables
[version 1; not peer reviewed]

Krzysztof Mnich¹, Witold R. Rudnicki

Author Affiliations

¹ University of Białystok, Poland

Presented at

15th European Conference on Computational Biology (ECCB) 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Feature selection, synergy, epistasis, gene expression, GWAS

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