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Model rejections lie at the heart of systems biology, since they provide conclusive statements: that the corresponding mechanistic assumptions do not serve as valid explanations for the experimental data. Rejections are usually done using e.g. the chi-square test (χ 2) or the Durbin-Watson test (DW). Analytical formulas for the corresponding distributions… (More)

- David Jullesson, Rikard Johansson, Meenu R Rajan, Peter Strålfors, Gunnar Cedersund
- The FEBS journal
- 2015

As our ability to measure the complexity of intracellular networks has evolved, it has become increasingly clear that we need new methods for data analysis: methods involving mathematical modeling. Nevertheless, it is still uncontroversial to publish and interpret experimental results without a model-based proof that the reasoning is correct. In the present… (More)

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