國立虎尾科技大學 |

Computational Methods in Systems Biology = 17th International Conference, CMSB 2019, Trieste, Italy, September 18–20, 2019, Proceedings /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Computational Methods in Systems Biology/ edited by Luca Bortolussi, Guido Sanguinetti.
Reminder of title:	17th International Conference, CMSB 2019, Trieste, Italy, September 18–20, 2019, Proceedings /
other author:	Bortolussi, Luca.
Description:	XI, 388 p. 487 illus., 87 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Bioinformatics. -
Online resource:	https://doi.org/10.1007/978-3-030-31304-3
ISBN:	9783030313043

Computational Methods in Systems Biology = 17th International Conference, CMSB 2019, Trieste, Italy, September 18–20, 2019, Proceedings /
Computational Methods in Systems Biology17th International Conference, CMSB 2019, Trieste, Italy, September 18–20, 2019, Proceedings /[electronic resource] :edited by Luca Bortolussi, Guido Sanguinetti. - 1st ed. 2019. - XI, 388 p. 487 illus., 87 illus. in color.online resource. - Lecture Notes in Bioinformatics ;11773. - Lecture Notes in Bioinformatics ;9043.

Regular Papers -- Sequential Reprogramming of Boolean Networks Made Practical -- Sequential Reprogramming of Biological Network Fate -- Control Variates for Stochastic Simulation of Chemical Reaction Networks -- Effective computational methods for hybrid stochastic gene networks -- On Chemical Reaction Network Design by a Nested Evolution Algorithm -- Designing Distributed Cell Classifier Circuits using a Genetic Algorithm -- Investigating a Hodgkin-Huxley type model for Drosophila larval neuromuscular junctions via particle swarm fitting -- Cell volume distributions in exponentially growing populations -- Transient Memory in Gene Regulation -- A Logic-Based Learning Approach to Explore Diabetes Patient Behaviors -- Reachability design through Approximate Bayesian Computation -- Fast enumeration of non-isomorphic chemical reaction networks -- A large-scale assessment of exact model reduction in the BioModels repository -- Computing Difference Abstractions of Metabolic Networks Under Kinetic Constraints -- Tool Papers -- BRE:IN - A Backend for Reasoning about Interaction Networks with Temporal Logic -- The Kappa simulator made interactive -- Biochemical reaction networks with fuzzy kinetic parameters in Snoopy -- Compartmental Modeling Software: a fast, discrete stochastic framework for biochemical and epidemiological simulation -- Spike - reproducible simulation experiments with configuration file branching -- KAMIStudio: an environment for biocuration of cellular signalling knowledge -- A new version of DAISY to test structural identifiability of biological models -- Extended Abstracts (Posters and Highlight Talks) -- Semi-Quantitative Abstraction and Analysis of Chemical Reaction Networks -- Bayesian parameter estimation for stochastic reaction networks from steady-state observations -- Wasserstein Distances for Estimating Parameters in Stochastic Reaction Networks -- On Inferring Reactions from Data Time Series by a Statistical Learning Greedy Heuristics -- Barbaric Robustness Monitoring Revisited for STL* in Parasim -- Symmetry breaking for GATA-1/PU.1 model -- Scalable Control of Asynchronous Boolean Networks -- Transcriptional response of SK-N-AS cells to methamidophos (Extended Abstract) -- Separators for polynomial dynamic systems with linear complexity -- Bounding First Passage Times in Chemical Reaction Networks -- Data-informed parameter synthesis for population Markov chains.

This book constitutes the refereed proceedings of the 17th International Conference on Computational Methods in Systems Biology, CMSB 2019, held in Trieste, Italy, in September 2019. The 14 full papers, 7 tool papers and 11 posters were carefully reviewed and selected from 53 submissions. Topics of interest include formalisms for modeling biological processes; models and their biological applications; frameworks for model verification, validation, analysis, and simulation of biological systems; high-performance computational systems biology and parallel implementations; model inference from experimental data; model integration from biological databases; multi-scale modeling and analysis methods; computational approaches for synthetic biology; and case studies in systems and synthetic biology.

ISBN: 9783030313043

Standard No.: 10.1007/978-3-030-31304-3doiSubjects--Topical Terms:

583857
Bioinformatics.

LC Class. No.: QH324.2-324.25

Dewey Class. No.: 570.285

Computational Methods in Systems Biology = 17th International Conference, CMSB 2019, Trieste, Italy, September 18–20, 2019, Proceedings /
LDR:04754nam a22004215i 4500 001 1012019
003 DE-He213
005 20200703075136.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783030313043 $9 978-3-030-31304-3
024 7 $a 10.1007/978-3-030-31304-3 $2 doi
035 $a 978-3-030-31304-3
050 4 $a QH324.2-324.25
072 7 $a PSA $2 bicssc
072 7 $a COM014000 $2 bisacsh
072 7 $a PSA $2 thema
072 7 $a UB $2 thema
082 0 4 $a 570.285 $2 23
245 1 0 $a Computational Methods in Systems Biology $h [electronic resource] : $b 17th International Conference, CMSB 2019, Trieste, Italy, September 18–20, 2019, Proceedings / $c edited by Luca Bortolussi, Guido Sanguinetti.
250 $a 1st ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a XI, 388 p. 487 illus., 87 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes in Bioinformatics ; $v 11773
505 0 $a Regular Papers -- Sequential Reprogramming of Boolean Networks Made Practical -- Sequential Reprogramming of Biological Network Fate -- Control Variates for Stochastic Simulation of Chemical Reaction Networks -- Effective computational methods for hybrid stochastic gene networks -- On Chemical Reaction Network Design by a Nested Evolution Algorithm -- Designing Distributed Cell Classifier Circuits using a Genetic Algorithm -- Investigating a Hodgkin-Huxley type model for Drosophila larval neuromuscular junctions via particle swarm fitting -- Cell volume distributions in exponentially growing populations -- Transient Memory in Gene Regulation -- A Logic-Based Learning Approach to Explore Diabetes Patient Behaviors -- Reachability design through Approximate Bayesian Computation -- Fast enumeration of non-isomorphic chemical reaction networks -- A large-scale assessment of exact model reduction in the BioModels repository -- Computing Difference Abstractions of Metabolic Networks Under Kinetic Constraints -- Tool Papers -- BRE:IN - A Backend for Reasoning about Interaction Networks with Temporal Logic -- The Kappa simulator made interactive -- Biochemical reaction networks with fuzzy kinetic parameters in Snoopy -- Compartmental Modeling Software: a fast, discrete stochastic framework for biochemical and epidemiological simulation -- Spike - reproducible simulation experiments with configuration file branching -- KAMIStudio: an environment for biocuration of cellular signalling knowledge -- A new version of DAISY to test structural identifiability of biological models -- Extended Abstracts (Posters and Highlight Talks) -- Semi-Quantitative Abstraction and Analysis of Chemical Reaction Networks -- Bayesian parameter estimation for stochastic reaction networks from steady-state observations -- Wasserstein Distances for Estimating Parameters in Stochastic Reaction Networks -- On Inferring Reactions from Data Time Series by a Statistical Learning Greedy Heuristics -- Barbaric Robustness Monitoring Revisited for STL* in Parasim -- Symmetry breaking for GATA-1/PU.1 model -- Scalable Control of Asynchronous Boolean Networks -- Transcriptional response of SK-N-AS cells to methamidophos (Extended Abstract) -- Separators for polynomial dynamic systems with linear complexity -- Bounding First Passage Times in Chemical Reaction Networks -- Data-informed parameter synthesis for population Markov chains.
520 $a This book constitutes the refereed proceedings of the 17th International Conference on Computational Methods in Systems Biology, CMSB 2019, held in Trieste, Italy, in September 2019. The 14 full papers, 7 tool papers and 11 posters were carefully reviewed and selected from 53 submissions. Topics of interest include formalisms for modeling biological processes; models and their biological applications; frameworks for model verification, validation, analysis, and simulation of biological systems; high-performance computational systems biology and parallel implementations; model inference from experimental data; model integration from biological databases; multi-scale modeling and analysis methods; computational approaches for synthetic biology; and case studies in systems and synthetic biology.
650 0 $a Bioinformatics. $3 583857
650 0 $a Artificial intelligence. $3 559380
650 0 $a Algorithms. $3 527865
650 0 $a Mathematical logic. $2 bicssc $3 810627
650 0 $a Computer science—Mathematics. $3 1253519
650 0 $a Software engineering. $3 562952
650 1 4 $a Computational Biology/Bioinformatics. $3 677363
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 593923
650 2 4 $a Mathematical Logic and Formal Languages. $3 670059
650 2 4 $a Mathematics of Computing. $3 669457
650 2 4 $a Software Engineering/Programming and Operating Systems. $3 669780
700 1 $a Bortolussi, Luca. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1199886
700 1 $a Sanguinetti, Guido. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1306277
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030313036
776 0 8 $i Printed edition: $z 9783030313050
830 0 $a Lecture Notes in Bioinformatics ; $v 9043 $3 1255108
856 4 0 $u https://doi.org/10.1007/978-3-030-31304-3
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)