https://doi.org/10.7490/f1000research.1114792.1
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Ciucci S, Ge Y, Durán C et al. Enlightening discriminative network functional modules behind Principal Component Analysis separation in differential-omic science studies [version 1; not peer reviewed]. F1000Research 2017, 6(ISCB Comm J):1564 (poster) (https://doi.org/10.7490/f1000research.1114792.1)
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Enlightening discriminative network functional modules behind Principal Component Analysis separation in differential-omic science studies

Sara Ciucci, Yan Ge, Claudio Durán, Alessandra Palladini, Victor Jiménez Jiménez, Luisa Maria Martínez Sánchez, Yuting Wang, Susanne Sales, Andrej Shevchenko, Steven W. Poser, Maik Herbig, Oliver Otto, Andreas Androutsellis-Theotokis, Jochen Guck, Mathias J. Gerl, Carlo Vittorio Cannistraci1
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Published 25 Aug 2017

Enlightening discriminative network functional modules behind Principal Component Analysis separation in differential-omic science studies

[version 1; not peer reviewed]

Sara Ciucci, Yan Ge, Claudio Durán, Alessandra Palladini, Victor Jiménez Jiménez, Luisa Maria Martínez Sánchez, Yuting Wang, Susanne Sales, Andrej Shevchenko, Steven W. Poser, Maik Herbig, Oliver Otto, Andreas Androutsellis-Theotokis, Jochen Guck, Mathias J. Gerl, Carlo Vittorio Cannistraci1
Author Affiliations
1 Biotechnology Center (BIOTEC), Technische Universität Dresden, Germany
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
Principal component analysis, network-inference, discriminative functional network modules
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