<p>consICA: a package for parallel consensus ICA of multi-omics data and interpretation of the results</p>

Petr V. Nazarov; Tony Kaoma; Maryna Chepeleva; Sang-Yoon Kim; Arnaud Muller; Gunnar Dittmar

doi:10.7490/f1000research.1117775.1

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Nazarov PV, Kaoma T, Chepeleva M et al. consICA: a package for parallel consensus ICA of multi-omics data and interpretation of the results [version 1; not peer reviewed]. F1000Research 2019, 8:2107 (poster) (https://doi.org/10.7490/f1000research.1117775.1)

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consICA: a package for parallel consensus ICA of multi-omics data and interpretation of the results

Petr V. Nazarov¹, Tony Kaoma, Maryna Chepeleva, Sang-Yoon Kim, Arnaud Muller, Gunnar Dittmar

Published 16 Dec 2019 (https://doi.org/10.7490/f1000research.1117775.1)

Author Affiliations

¹ Luxembourg Institute of Health, Luxembourg

Copyright © 2019 Nazarov PV 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 16 Dec 2019

consICA: a package for parallel consensus ICA of multi-omics data and interpretation of the results
[version 1; not peer reviewed]

Petr V. Nazarov¹, Tony Kaoma, Maryna Chepeleva, Sang-Yoon Kim, Arnaud Muller, Gunnar Dittmar

Author Affiliations

¹ Luxembourg Institute of Health, Luxembourg

Presented at

European Bioconductor Meeting 2019

Abstract

Competing Interests

No competing interests were disclosed

Keywords

deconvolution, independent component analysis, heterogeneity, transcriptomics, methylomics, proteomics, cancer, diagnostics, survival

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