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Nolte, G.* ; Lutter, D. ; Ziehe, A.* ; Nesta, F.* ; Vincent, W.* ; Koldosky, Z.* ; Benichoux, A.* ; Araki, S.*

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

Lect. Notes Comput. Sc. 7191, 423-429 (2012)
DOI
Open Access Green as soon as Postprint is submitted to ZB.
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.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
ISSN (print) / ISBN 0302-9743
e-ISSN 1611-3349
Journal Lecture Notes in Computer Science
Quellenangaben Volume: 7191, Issue: , Pages: 423-429 Article Number: , Supplement: ,
Publisher Springer
Publishing Place Berlin [u.a.]
Non-patent literature Publications
Institute(s) Institute of Bioinformatics and Systems Biology (IBIS)