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Linking data to models: data regression
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DOI：10.1038/nrm2030.png)
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Abstract
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Mathematical models are an essential tool in systems biology, linking the behaviour of a system to the interactions between its components. Parameters in empirical mathematical models must be determined using experimental data, a process called regression. Because experimental data are noisy and incomplete, diagnostics that test the structural identifiability and validity of models and the significance and determinability of their parameters are needed to ensure that the proposed models are supported by the available data.
Keywords:
KINETOCHORE MICROTUBULE DYNAMICS
BIOCHEMICAL PATHWAYS
PARAMETER-ESTIMATION
SINGLE-CELL
SQUARES REGRESSION
BAYESIAN-ANALYSIS
INDUCED APOPTOSIS
TIME-SERIES
YEAST
NETWORKS
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