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Nazarov P, Eveno T, Chepeleva M et al. Improving characterisation of cancer patients by consensus independent component analysis of tumour transcriptomes [version 1; not peer reviewed]. F1000Research 2019, 8:1632 (poster) (https://doi.org/10.7490/f1000research.1117491.1)
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Improving characterisation of cancer patients by consensus independent component analysis of tumour transcriptomes

Petr Nazarov1, Thomas Eveno, Maryna Chepeleva, Tony Kaoma, Arnaud Muller, Francisco Azuaje
Author Affiliations
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Published 12 Sep 2019

Improving characterisation of cancer patients by consensus independent component analysis of tumour transcriptomes

[version 1; not peer reviewed]

Petr Nazarov1, Thomas Eveno, Maryna Chepeleva, Tony Kaoma, Arnaud Muller, Francisco Azuaje
Author Affiliations
1 Luxembourg Institute of Health, Luxembourg
Presented at
German Conference on Bioinformatics (GCB) 2019
Abstract
Competing Interests

No competing interests were disclosed

Keywords
independent component analysis, deconvolution, cancer, diagnostics, survival
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