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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)
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/Buchkapitel
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,
Seiten: 387-394
Verlag
Springer
Verlagsort
Berlin [u.a.]
Nichtpatentliteratur
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