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Computational Methods in Systems Biology [electronic resource] :16th International Conference, CMSB 2018, Brno, Czech Republic, September 12-14, 2018, Proceedings /

Contributor(s): Češka, Milan [editor.] | Šafránek, David [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Bioinformatics: 11095Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XXIII, 326 p. 88 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319994291.Subject(s): Computer Science | Bioinformatics | Artificial intelligence | Software engineering | Computer science | Logic design | Computational Biology/Bioinformatics | Artificial Intelligence | Software Engineering | Mathematical Logic and Formal Languages | Logics and Meanings of ProgramsOnline resources: Click here to access online
Contents:
Modeling and Engineering Promoters with Pre-defined RNA Production Dynamics in Escherichia coli -- Deep Abstractions of Chemical Reaction Networks -- Derivation of A Biomass Proxy for Dynamic Analysis of Whole Genome Metabolic Models -- Computing Diverse Boolean Networks from Phosphoproteomic Time Series Data -- Characterization of the Experimentally Observed Clustering of VEGF Receptors -- Synthesis for Vesicle Traffic Systems -- Formal Analysis of Network Motifs -- Buffering Gene Expression Noise by microRNA Based Feed Forward Regulation -- Stochastic Rate Parameter Inference Using the Cross-Entropy Method -- Experimental Biological Protocols with Formal Semantics -- Robust Data-Driven Control of Artificial Pancreas Systems Using Neural Networks -- Programming Substrate-Independent Kinetic Barriers with Thermodynamic Binding Networks -- A Trace Query Language for Rule-based Models -- Inferring Mechanism of Action of an Unknown Compound from Time Series Omics Data -- Composable Rate-Independent Computation in Continuous Chemical Reaction Networks -- ASSA-PBN 3.0: Analysing Context-sensitive Probabilistic Boolean Networks -- KaSa: A Static Analyzer for Kappa -- On Robustness Computation and Optimization in BIOCHAM-4 -- LNA++: Linear Noise Approximation with First and Second Order Sensitivities -- Reparametrizing the Sigmoid Model of Gene Regulation for Bayesian Inference -- On the Full Control of Boolean Networks -- Systems Metagenomics: Applying Systems Biology Thinking to Human Microbiome Analysis.
In: Springer eBooksSummary: Chapters 3, 9 and 10 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
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Modeling and Engineering Promoters with Pre-defined RNA Production Dynamics in Escherichia coli -- Deep Abstractions of Chemical Reaction Networks -- Derivation of A Biomass Proxy for Dynamic Analysis of Whole Genome Metabolic Models -- Computing Diverse Boolean Networks from Phosphoproteomic Time Series Data -- Characterization of the Experimentally Observed Clustering of VEGF Receptors -- Synthesis for Vesicle Traffic Systems -- Formal Analysis of Network Motifs -- Buffering Gene Expression Noise by microRNA Based Feed Forward Regulation -- Stochastic Rate Parameter Inference Using the Cross-Entropy Method -- Experimental Biological Protocols with Formal Semantics -- Robust Data-Driven Control of Artificial Pancreas Systems Using Neural Networks -- Programming Substrate-Independent Kinetic Barriers with Thermodynamic Binding Networks -- A Trace Query Language for Rule-based Models -- Inferring Mechanism of Action of an Unknown Compound from Time Series Omics Data -- Composable Rate-Independent Computation in Continuous Chemical Reaction Networks -- ASSA-PBN 3.0: Analysing Context-sensitive Probabilistic Boolean Networks -- KaSa: A Static Analyzer for Kappa -- On Robustness Computation and Optimization in BIOCHAM-4 -- LNA++: Linear Noise Approximation with First and Second Order Sensitivities -- Reparametrizing the Sigmoid Model of Gene Regulation for Bayesian Inference -- On the Full Control of Boolean Networks -- Systems Metagenomics: Applying Systems Biology Thinking to Human Microbiome Analysis.

Chapters 3, 9 and 10 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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