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|Title: ||Linear time-varying models can reveal non-linear interactions of biomolecular regulatory networks using multiple time-series data.|
|Authors: ||Kim, J|
|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|
|Type: ||Journal Article|
|Appears in Collections:||Published Articles, Dept. of Biology|
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