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Combining test statistics and models in bootstrapped model rejection: it is a balancing act
BACKGROUND: 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-Wat...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2014
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4022267/ https://www.ncbi.nlm.nih.gov/pubmed/24742065 http://dx.doi.org/10.1186/1752-0509-8-46 |