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Computational Methods in Systems Biology : 19th International Conference, CMSB 2021, Bordeaux, France, September 22-24, 2021, Proceedings / edited by Eugenio Cinquemani, Loïc Paulevé.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Cinquemani, Eugenio, Editor.
Paulevé, Loïc, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in bioinformatics 2366-6331 ; 12881
Lecture Notes in Bioinformatics, 2366-6331 ; 12881
Language:
English
Subjects (All):
Bioinformatics.
Artificial intelligence.
Software engineering.
Database management.
Computer science.
Computer networks.
Computational and Systems Biology.
Artificial Intelligence.
Software Engineering.
Database Management System.
Theory of Computation.
Computer Communication Networks.
Local Subjects:
Computational and Systems Biology.
Artificial Intelligence.
Software Engineering.
Database Management System.
Theory of Computation.
Computer Communication Networks.
Physical Description:
1 online resource (XII, 281 pages) : 74 illustrations, 61 illustrations in color.
Edition:
1st ed. 2021.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2021.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the 19th International Conference on Computational Methods in Systems Biology, CMSB 2021, held in Bordeaux, France, September 22-24, 2021.* The 13 full papers and 5 tool papers were carefully reviewed and selected from 32 submissions. The topics of interest include biological process modelling; biological system model verification, validation, analysis, and simulation; high-performance computational systems biology; model inference from experimental data; multi-scale modeling and analysis methods; computational approaches for synthetic biology; machine learning and data-driven approaches; microbial ecology modelling and analysis; methods and protocols for populations and their variability; models, applications, and case studies in systems and synthetic biology. The chapters "Microbial Community Decision Making Models in Batch", "Population design for synthetic gene circuits", "BioFVM-X: An MPI+OpenMP 3-D Simulator for Biological Systems" are published open access under a CC BY license (Creative Commons Attribution 4.0 International License). * The conference was held in a hybrid mode due to the COVID-19 pandemic.
Contents:
Reducing Boolean Networks with Backward Boolean Equivalence
Abstraction of Markov Population Dynamics via Generative Adversarial Nets
Greening R. Thomas' Framework with Environment Variables: a Divide and Conquer Approach
Automated inference of production rules for glycans
Compiling Elementary Mathematical Functions into Finite Chemical Reaction Networks via a Polynomialization Algorithm for ODEs
Interpretable exact linear reductions via positivity
Explainable artificial neural network for recurrent venous thromboembolism based on plasma proteomics
Neural networks to predict survival from RNA-seq data in oncology
Microbial Community Decision Making Models in Batchand Chemostat Cultures.-Learning Boolean controls in regulated metabolic networks: a case-study
Population design for synthetic gene circuits
Nonlinear pattern matching in rule-based modeling languages
Protein noise and distribution in a two-stage gene-expression model extended by an mRNA inactivation loop
Aeon 2021: Bifurcation Decision Trees in Boolean Networks
LNetReduce: tool for reducing linear dynamic networks with separated time scales
ppsim: A software package for efficiently simulating and visualizing population protocols
Web-based Structural Identifiability Analyzer BioFVM-X: An MPI+OpenMP 3-D Simulator for Biological Systems.
Other Format:
Printed edition:
ISBN:
978-3-030-85633-5
9783030856335
Access Restriction:
Restricted for use by site license.

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