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  • 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.
  • 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. (en)
Title
  • The 2011 Signal Separation Evaluation Campaign (SiSEC2011): - Biomedical data analysis
  • The 2011 Signal Separation Evaluation Campaign (SiSEC2011): - Biomedical data analysis (en)
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  • The 2011 Signal Separation Evaluation Campaign (SiSEC2011): - Biomedical data analysis
  • The 2011 Signal Separation Evaluation Campaign (SiSEC2011): - Biomedical data analysis (en)
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  • RIV/46747885:24220/12:#0002024!RIV13-GA0-24220___
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  • P(GAP103/11/1947)
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  • 183350
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  • RIV/46747885:24220/12:#0002024
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  • Biomedical data (en)
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  • [1C642F944DF3]
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  • Tel Aviv; Israel
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  • 10th International Conference on Latent Variable Analysis and Signal Separation
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  • Koldovský, Zbyněk
  • Araki, S.
  • Benichoux, A.
  • Lutter, D.
  • Nesta, F.
  • Nolte, G.
  • Vincent, E.
  • Ziehe, A.
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number of pages
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  • 10.1007/978-3-642-28551-6_52
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  • Springer-Verlag
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  • 978-3-642-28550-9
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  • 24220
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