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Estimating hidden influences in metabolic and gene regulatory networks.

In: Independent Component Analysis and Signal Separation. Berlin [u.a.]: Springer, 2009. 387-394 (Lect. Notes Comput. Sc. ; 5441)
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We address the applicability of blind source separation (BSS) methods for the estimation of hidden influences in biological dynamic systems such as metabolic or gene regulatory networks. In simple processes obeying mass action kinetics, we find the emergence of linear mixture models. More complex situations as well as hidden influences in regulatory systems with sigmoidal input functions however lead to new classes of BSS problems.
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Publication type Article: Edited volume or book chapter
Editors Adali, T.*
ISSN (print) / ISBN 0302-9743
e-ISSN 1611-3349
ISBN 978-3-642-00598-5
Book Volume Title Independent Component Analysis and Signal Separation
Quellenangaben Volume: 5441, Issue: , Pages: 387-394 Article Number: , Supplement: ,
Publisher Springer
Publishing Place Berlin [u.a.]