<p>Improving characterisation of glioma patients by consensus independent component analysis</p>

Petr V. Nazarov; Anna Golebiewska; Arnaud Muller; Thomas Eveno; Tony Kaoma; Simone P. Niclou; Gunnar Dittmar; Francisco Azuaje

doi:10.7490/f1000research.1117068.1

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Nazarov PV, Golebiewska A, Muller A et al. Improving characterisation of glioma patients by consensus independent component analysis [version 1; not peer reviewed]. F1000Research 2019, 8:1120 (poster) (https://doi.org/10.7490/f1000research.1117068.1)

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Improving characterisation of glioma patients by consensus independent component analysis

Petr V. Nazarov¹, Anna Golebiewska, Arnaud Muller, Thomas Eveno, Tony Kaoma, Simone P. Niclou, Gunnar Dittmar, Francisco Azuaje

Published 18 Jul 2019 (https://doi.org/10.7490/f1000research.1117068.1)

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 18 Jul 2019

Improving characterisation of glioma patients by consensus independent component analysis
[version 1; not peer reviewed]

Petr V. Nazarov¹, Anna Golebiewska, Arnaud Muller, Thomas Eveno, Tony Kaoma, Simone P. Niclou, Gunnar Dittmar, Francisco Azuaje

Author Affiliations

¹ Luxembourg Institute of Health, Luxembourg

Presented at

Joint 25th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and 16th European Conference on Computational Biology (ECCB) 2017

Abstract

Competing Interests

No competing interests were disclosed

Keywords

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

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Petr Nazarov

Luxembourg Institute of Health, Luxembourg

26 Feb 2020

Erratum:
The "Presented at" field should be "Joint 27th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and 18th European Conference on Computational Biology (ECCB) 2019 "

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