<p>Independent component analysis (ICA) unveils the landscape of multi-omics pancancer data</p>

Laura Cantini; Emmanuel Barillot; Francois Radvanyi; Andrei Zinovyev

doi:10.7490/f1000research.1113135.1

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Cantini L, Barillot E, Radvanyi F and Zinovyev A. Independent component analysis (ICA) unveils the landscape of multi-omics pancancer data [version 1; not peer reviewed]. F1000Research 2016, 5:2312 (poster) (https://doi.org/10.7490/f1000research.1113135.1)

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Independent component analysis (ICA) unveils the landscape of multi-omics pancancer data

Laura Cantini¹, Emmanuel Barillot, Francois Radvanyi, Andrei Zinovyev

Published 13 Sep 2016 (https://doi.org/10.7490/f1000research.1113135.1)

Author Affiliations

¹ Institute Curie, France, France

Copyright © 2016 Cantini L 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 13 Sep 2016

Independent component analysis (ICA) unveils the landscape of multi-omics pancancer data
[version 1; not peer reviewed]

Laura Cantini¹, Emmanuel Barillot, Francois Radvanyi, Andrei Zinovyev

Author Affiliations

¹ Institute Curie, France, France

Presented at

15th European Conference on Computational Biology (ECCB) 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

ICA, pancancer, multi-omics, CRC

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