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

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發(fā)表于 2025-3-23 10:39:42 | 只看該作者
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發(fā)表于 2025-3-23 16:09:53 | 只看該作者
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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發(fā)表于 2025-3-23 22:05:57 | 只看該作者
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發(fā)表于 2025-3-23 22:53:49 | 只看該作者
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發(fā)表于 2025-3-24 06:04:28 | 只看該作者
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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發(fā)表于 2025-3-24 08:58:42 | 只看該作者
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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發(fā)表于 2025-3-24 10:40:14 | 只看該作者
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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發(fā)表于 2025-3-24 18:02:41 | 只看該作者
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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發(fā)表于 2025-3-24 19:15:19 | 只看該作者
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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發(fā)表于 2025-3-25 01:32:53 | 只看該作者
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.
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