Literature DB >> 17006434

Linking data to models: data regression.

Khuloud Jaqaman1, Gaudenz Danuser.   

Abstract

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.

Mesh:

Year:  2006        PMID: 17006434     DOI: 10.1038/nrm2030

Source DB:  PubMed          Journal:  Nat Rev Mol Cell Biol        ISSN: 1471-0072            Impact factor:   94.444


  81 in total

1.  Flexible informatics for linking experimental data to mathematical models via DataRail.

Authors:  Julio Saez-Rodriguez; Arthur Goldsipe; Jeremy Muhlich; Leonidas G Alexopoulos; Bjorn Millard; Douglas A Lauffenburger; Peter K Sorger
Journal:  Bioinformatics       Date:  2008-01-24       Impact factor: 6.937

2.  Programming with models: modularity and abstraction provide powerful capabilities for systems biology.

Authors:  Aneil Mallavarapu; Matthew Thomson; Benjamin Ullian; Jeremy Gunawardena
Journal:  J R Soc Interface       Date:  2009-03-06       Impact factor: 4.118

Review 3.  Stochastic modelling for quantitative description of heterogeneous biological systems.

Authors:  Darren J Wilkinson
Journal:  Nat Rev Genet       Date:  2009-02       Impact factor: 53.242

4.  The geometry of multisite phosphorylation.

Authors:  Arjun Kumar Manrai; Jeremy Gunawardena
Journal:  Biophys J       Date:  2008-10-10       Impact factor: 4.033

Review 5.  Measuring and modeling apoptosis in single cells.

Authors:  Sabrina L Spencer; Peter K Sorger
Journal:  Cell       Date:  2011-03-18       Impact factor: 41.582

6.  An iterative identification procedure for dynamic modeling of biochemical networks.

Authors:  Eva Balsa-Canto; Antonio A Alonso; Julio R Banga
Journal:  BMC Syst Biol       Date:  2010-02-17

7.  Rule-based cell systems model of aging using feedback loop motifs mediated by stress responses.

Authors:  Andres Kriete; William J Bosl; Glenn Booker
Journal:  PLoS Comput Biol       Date:  2010-06-17       Impact factor: 4.475

8.  Steady-state kinetic modeling constrains cellular resting states and dynamic behavior.

Authors:  Jeremy E Purvis; Ravi Radhakrishnan; Scott L Diamond
Journal:  PLoS Comput Biol       Date:  2009-03-06       Impact factor: 4.475

9.  A stochastic model for microtubule motors describes the in vivo cytoplasmic transport of human adenovirus.

Authors:  Mattia Gazzola; Christoph J Burckhardt; Basil Bayati; Martin Engelke; Urs F Greber; Petros Koumoutsakos
Journal:  PLoS Comput Biol       Date:  2009-12-24       Impact factor: 4.475

10.  An empirical Bayesian approach for model-based inference of cellular signaling networks.

Authors:  David J Klinke
Journal:  BMC Bioinformatics       Date:  2009-11-09       Impact factor: 3.169

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