The 2011 Signal Separation Evaluation Campaign (SiSEC2011): - Biomedical data analysis -

Guido Nolte; Dominik Lutter; Andreas Ziehe; Francesco Nesta; Emmanuel Vincent; Zbynek Koldovsky; Alexis Benichoux; Shoko Araki

hal-00655801, version 1

The 2011 Signal Separation Evaluation Campaign (SiSEC2011): - Biomedical data analysis -

Guido Nolte ¹, Dominik Lutter ², Andreas Ziehe ¹, Francesco Nesta ³, Emmanuel Vincent () ⁴, Zbynek Koldovsky ⁵, Alexis Benichoux () ⁴, Shoko Araki ⁶

10th Int. Conf. on Latent Variable Analysis and Signal Separation (LVA/ICA) (2012) 423-429

Résumé : 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 profi les. The results for each task were evaluated using di fferent objective performance criteria. We provide an overview of the biomedical datasets, tasks and criteria, and we report on the achieved results.

1 : Department Intelligent Data Analysis [Berlin] (IDA)
Fraunhofer Institute
2 : Institute of Biomathematics and Biometry - HelmholtzZentrum München (IBB)
HelmholtzZentrum München
3 : Fondazione Bruno Kessler (FBK-IRST)
FBK-irst
4 : METISS (INRIA - IRISA)
CNRS : UMR6074 – INRIA – Institut National des Sciences Appliquées (INSA) - Rennes – Université de Rennes 1
5 : Institute of Information Technology and Electronics (ITE)
Technical University of Liberec
6 : NTT Communication Science Laboratories
NTT Corporation

hal-00655801, version 1
http://hal.inria.fr/hal-00655801
oai:hal.inria.fr:hal-00655801
Contributeur : Emmanuel Vincent <>
Soumis le : Lundi 2 Janvier 2012, 15:08:02
Dernière modification le : Lundi 2 Avril 2012, 17:37:40

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