https://doi.org/10.7490/f1000research.1115447.1
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Picandet L, Kaoma T, Muller A et al. Decomposition of transcriptional signals from tumours to improve classification of glioma patients [version 1; not peer reviewed]. F1000Research 2018, 7:571 (poster) (https://doi.org/10.7490/f1000research.1115447.1)
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Decomposition of transcriptional signals from tumours to improve classification of glioma patients

Laurène Picandet, Tony Kaoma, Arnaud Muller, Francisco Azuaje, Petr V. Nazarov1
Author Affiliations
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Published 11 May 2018

Decomposition of transcriptional signals from tumours to improve classification of glioma patients

[version 1; not peer reviewed]

Laurène Picandet, Tony Kaoma, Arnaud Muller, Francisco Azuaje, Petr V. Nazarov1
Author Affiliations
1 Luxembourg Institute of Health, Luxembourg
Presented at
4th Dutch Bioinformatics and Systems Biology Conference (BioSB) 2018
Abstract
Competing Interests

No competing interests were disclosed

Keywords
Glioma, independent component analysis, feature extraction, classification
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