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Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/26942

Title: Linear time-varying models can reveal non-linear interactions of biomolecular regulatory networks using multiple time-series data.
Authors: Kim, J
Bates, DG
Postlethwaite, I
Heslop-Harrison, P
Cho, KH
Issue Date: 15-May-2008
Citation: BIOINFORMATICS, 2008, 24 (10), pp. 1286-1292
Abstract: Inherent non-linearities in biomolecular interactions make the identification of network interactions difficult. One of the principal problems is that all methods based on the use of linear time-invariant models will have fundamental limitations in their capability to infer certain non-linear network interactions. Another difficulty is the multiplicity of possible solutions, since, for a given dataset, there may be many different possible networks which generate the same time-series expression profiles.
DOI Link: 10.1093/bioinformatics/btn107
eISSN: 1367-4811
Links: http://hdl.handle.net/2381/26942
Type: Journal Article
Appears in Collections:Published Articles, Dept. of Biology

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