Bioinformatics · 2018 · 119 citations · 20 references
EngineeringBioinformaticsBiological Systems ModelingComputational BiologyStructural AnalysisComputational ModelingModel IdentifiabilityContinuous Noise EffectsIdentifiability AnalysisNumerical IdentifiabilityOpen-source Software DevelopmentStructural Identifiability
SUMMARY: Biological processes are often modeled by ordinary differential equations with unknown parameters. The unknown parameters are usually estimated from experimental data. In some cases, due to the structure of the model, this estimation problem does not have a unique solution even in the case of continuous noise-free data. It is therefore desirable to check the uniqueness a priori before carrying out actual experiments. We present a new software SIAN (Structural Identifiability ANalyser) that does this. Our software can tackle problems that could not be tackled by previously developed packages. AVAILABILITY AND IMPLEMENTATION: SIAN is open-source software written in Maple and is available at https://github.com/pogudingleb/SIAN. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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