Titlebook: Identifiability and Regression Analysis of Biological Systems Models; Statistical and Math Paola Lecca Book 20201st edition The Author(s),

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Paola LeccaIncludes supplementary material: .Cellulose: Molecular and Structural Biology. is an up-to-date treatise on the most advanced and provocative research into the biosynthesis, structure, and applications of Nature’s most abundant macromolecule and renewable resource, cellulose...Molecular, biochemical

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Paola LeccaIncludes supplementary material: .Cellulose: Molecular and Structural Biology. is an up-to-date treatise on the most advanced and provocative research into the biosynthesis, structure, and applications of Nature’s most abundant macromolecule and renewable resource, cellulose...Molecular, biochemical

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Complex Systems, Data and Inference, governed by mathematically complex laws and orchestrated by thousands of interactions among thousands of molecular components. In this chapter, we explain what it means that a system is complex, what are the mathematical tools and the abstract data structures that we can use to describe a complex s

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Dynamic Models,logy evolves over time. The abundances of the chemical and/or molecular species they represent in nodes change over time and if they fall below a critical threshold, they cause the disappearance of any connected arches and then determine their reappearance if they return to exceed this critical thre

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Model Identifiability,, we need to know the parameters of the model. Very often the values of the kinetic constants in a network of biochemical interactions, or more generally the arcs’ weights on the network define the force and direction of the interaction between nodes, are obtained from experimental data through vari

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Regression and Variable Selection,n is the process that choose a reduced number of explanatory variables to describe a response variable in a regression models. Variable selection is used to (i) make the model easier to interpret, removing redundant non-informative variables; (ii) reduce the size of the problem to enable algorithms

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R Scripts,In this chapter, we report the R scripts implemented to perform identifiability analysis and regression, mentioned in the previous chapters. The input files are only available upon request to the author.