Linear time-varying models can reveal non-linear interactions of biomolecular regulatory networks using multiple time-series data.
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Reverse engineering gene regulatory network from microarray data using linear time-variant model.Inference of gene regulatory networks using time-series data: a surveyAn S-System Parameter Estimation Method (SPEM) for biological networks.Reverse engineering of metabolic networks, a critical assessment.Time-variant modelling of heart rate responses to exercise intensity during road cycling.
P2860
Linear time-varying models can reveal non-linear interactions of biomolecular regulatory networks using multiple time-series data.
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2008 թվականի մարտին հրատարակված գիտական հոդված
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2008年の論文
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2008年論文
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2008年論文
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2008年論文
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2008年论文
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name
Linear time-varying models can ...... ing multiple time-series data.
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Linear time-varying models can ...... ing multiple time-series data.
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type
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Linear time-varying models can ...... ing multiple time-series data.
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Linear time-varying models can ...... ing multiple time-series data.
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Linear time-varying models can ...... ing multiple time-series data.
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Linear time-varying models can ...... ing multiple time-series data.
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P2093
P356
P1433
P1476
Linear time-varying models can ...... ing multiple time-series data.
@en
P2093
Declan G Bates
Ian Postlethwaite
Jongrae Kim
Pat Heslop-Harrison
P304
P356
10.1093/BIOINFORMATICS/BTN107
P407
P577
2008-03-26T00:00:00Z