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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 (Lecture Notes Comp. Sci. ; 5441)
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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Publikationstyp Artikel: Sammelbandbeitrag/Konferenzbeitrag
Herausgeber Adali, T.*
ISSN (print) / ISBN 0302-9743
e-ISSN 1611-3349
ISBN 978-3-642-00598-5
Bandtitel Independent Component Analysis and Signal Separation
Zeitschrift Lecture Notes in Computer Science
Quellenangaben Band: 5441, Heft: , Seiten: 387-394 Artikelnummer: , Supplement: ,
Verlag Springer
Verlagsort Berlin [u.a.]
Begutachtungsstatus nicht peer-reviewed