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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): Material type: TextTextSeries: Lecture Notes in Bioinformatics ; 11095Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018Description: XXIII, 326 p. 88 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319994291
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 570.285 23
  • 570.113 23
LOC classification:
  • QH324.2-324.25
Online resources:
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 Nature eBookSummary: 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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