Linking data to models: data regression
Top Cited Papers
- 27 September 2006
- journal article
- Published by Springer Nature in Nature Reviews Molecular Cell Biology
- Vol. 7 (11) , 813-819
- https://doi.org/10.1038/nrm2030
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.Keywords
This publication has 54 references indexed in Scilit:
- A Systems Model of Signaling Identifies a Molecular Basis Set for Cytokine-Induced ApoptosisScience, 2005
- Bayesian coclustering of Anopheles gene expression time series: Study of immune defense response to multiple experimental challengesProceedings of the National Academy of Sciences, 2005
- From signatures to models: understanding cancer using microarraysNature Genetics, 2005
- Causal Protein-Signaling Networks Derived from Multiparameter Single-Cell DataScience, 2005
- Inferring genetic regulatory logic from expression dataBioinformatics, 2005
- Bayesian analysis of signaling networks governing embryonic stem cell fate decisionsBioinformatics, 2004
- Cue-Signal-Response Analysis of TNF-Induced Apoptosis by Partial Least Squares Regression of Dynamic Multivariate DataJournal of Computational Biology, 2004
- Mechanisms of Microtubule-Based Kinetochore Positioning in the Yeast Metaphase SpindleBiophysical Journal, 2003
- Systems Biology: A Brief OverviewScience, 2002
- Synthetic cell biologyCurrent Opinion in Biotechnology, 2001