<p>Multi-omics data integration using parallel consensus independent component analysis</p>

Petr Nazarov; Tony Kaoma; Arnaud Muller; Katharina Baum; Sang-Yoon Kim; Gunnar Dittmar; Francisco Azuaje

doi:10.7490/f1000research.1116044.1

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Nazarov P, Kaoma T, Muller A et al. Multi-omics data integration using parallel consensus independent component analysis [version 1; not peer reviewed]. F1000Research 2018, 7:1412 (poster) (https://doi.org/10.7490/f1000research.1116044.1)

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Multi-omics data integration using parallel consensus independent component analysis

Petr Nazarov¹, Tony Kaoma, Arnaud Muller, Katharina Baum, Sang-Yoon Kim, Gunnar Dittmar, Francisco Azuaje

Published 05 Sep 2018 (https://doi.org/10.7490/f1000research.1116044.1)

Author Affiliations

¹ Luxembourg Institute of Health, Luxembourg

Copyright © 2018 Nazarov P 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 05 Sep 2018

Multi-omics data integration using parallel consensus independent component analysis
[version 1; not peer reviewed]

Petr Nazarov¹, Tony Kaoma, Arnaud Muller, Katharina Baum, Sang-Yoon Kim, Gunnar Dittmar, Francisco Azuaje

Author Affiliations

¹ Luxembourg Institute of Health, Luxembourg

Presented at

17th European Conference on Computational Biology (ECCB) 2018

Abstract

Competing Interests

No competing interests were disclosed

Keywords

independent component analysis, data integration, biological functions, miRNA

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