<p>Genetic algorithm for the searching cancer subtypes with clinical significance according to their gene expression patterns </p>

Martin E. Guerrero-Gimenez; Carlos Catania; Juan M. Fernandez-Muñoz; Daniel R. Ciocca; Felipe C.M. Zoppino

doi:10.7490/f1000research.1118020.1

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Guerrero-Gimenez ME, Catania C, Fernandez-Muñoz JM et al. Genetic algorithm for the searching cancer subtypes with clinical significance according to their gene expression patterns [version 1; not peer reviewed]. F1000Research 2020, 9(ISCB Comm J):664 (poster) (https://doi.org/10.7490/f1000research.1118020.1)

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Genetic algorithm for the searching cancer subtypes with clinical significance according to their gene expression patterns

Martin E. Guerrero-Gimenez¹, Carlos Catania, Juan M. Fernandez-Muñoz, Daniel R. Ciocca, Felipe C.M. Zoppino

Published 01 Jul 2020 (https://doi.org/10.7490/f1000research.1118020.1)

Author Affiliations

¹ Institute of Experimental Biology and Medicine of Cuyo, Argentina

Copyright © 2020 Guerrero-Gimenez ME 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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Published 01 Jul 2020

Genetic algorithm for the searching cancer subtypes with clinical significance according to their gene expression patterns
[version 1; not peer reviewed]

Martin E. Guerrero-Gimenez¹, Carlos Catania, Juan M. Fernandez-Muñoz, Daniel R. Ciocca, Felipe C.M. Zoppino

Author Affiliations

¹ Institute of Experimental Biology and Medicine of Cuyo, Argentina

Presented at

26th International Conference on Intelligent Systems for Molecular Biology (ISMB) 2018

Abstract

Competing Interests

No competing interests were disclosed

Keywords

cancer, molecular subtype, genetic algorithm, subtype discovery, multiobjective optimization, clustering, survival

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