The 2011 signal separation evaluation campaign (SiSEC2011): - biomedical data analysis -

Authors:
Guido Nolte;Dominik Lutter;Andreas Ziehe;Francesco Nesta;Emmanuel Vincent;Zbyněk Koldovský;Alexis Benichoux;Shoko Araki
Affiliations:
Fraunhofer Institute FIRST, Germany;IBIS, Helmholtz Zentrum München, Germany;Technical University Berlin, Germany;Fondazione Bruno Kessler - Irst, Center of Information Technology, Italy;Centre Inria Rennes, INRIA, Bretagne Atlantique, France;Technical University of Liberec, Czech Republic;Centre Inria Rennes, INRIA, Bretagne Atlantique, France;NTT Communication Science Labs., NTT Corporation, Japan
Venue:
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Year:
2012

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Abstract

This paper summarizes the bio part of the 2011 community based Signal Separation Evaluation Campaign (SiSEC2011). Two different data sets were given. In the first task, participants were asked to estimate the causal relations of underlying sources from simulated bivariate EEG data. In the second task, participants were asked to reconstruct signaling pathways or parts of it from the microarray expression profiles. The results for each task were evaluated using different objective performance criteria. We provide an overview of the biomedical datasets, tasks and criteria, and we report on the achieved results.