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17th CMSB 2019: Trieste, Italy
- Luca Bortolussi, Guido Sanguinetti:
Computational Methods in Systems Biology - 17th International Conference, CMSB 2019, Trieste, Italy, September 18-20, 2019, Proceedings. Lecture Notes in Computer Science 11773, Springer 2019, ISBN 978-3-030-31303-6
Regular Papers
- Hugues Mandon, Cui Su, Stefan Haar, Jun Pang, Loïc Paulevé:
Sequential Reprogramming of Boolean Networks Made Practical. 3-19 - Jérémie Pardo, Sergiu Ivanov, Franck Delaplace:
Sequential Reprogramming of Biological Network Fate. 20-41 - Michael Backenköhler, Luca Bortolussi
, Verena Wolf:
Control Variates for Stochastic Simulation of Chemical Reaction Networks. 42-59 - Guilherme C. P. Innocentini
Effective Computational Methods for Hybrid Stochastic Gene Networks. 60-77 - Elisabeth Degrand
On Chemical Reaction Network Design by a Nested Evolution Algorithm. 78-95 - Melania Nowicka
Designing Distributed Cell Classifier Circuits Using a Genetic Algorithm. 96-119 - Paul Piho, Filip Margetiny, Ezio Bartocci
Extending a Hodgkin-Huxley Model for Larval Drosophila Muscle Excitability via Particle Swarm Fitting. 120-139 - Pavol Bokes
Cell Volume Distributions in Exponentially Growing Populations. 140-154 - Calin C. Guet, Thomas A. Henzinger, Claudia Igler, Tatjana Petrov
Transient Memory in Gene Regulation. 155-187 - Josephine Lamp, Simone Silvetti, Marc D. Breton, Laura Nenzi, Lu Feng:
A Logic-Based Learning Approach to Explore Diabetes Patient Behaviors. 188-206 - Mahmoud Bentriou, Paolo Ballarini
Reachability Design Through Approximate Bayesian Computation. 207-223 - Carlo Spaccasassi, Boyan Yordanov, Andrew Phillips, Neil Dalchau:
Fast Enumeration of Non-isomorphic Chemical Reaction Networks. 224-247 - Isabel Cristina Pérez-Verona, Mirco Tribastone, Andrea Vandin
A Large-Scale Assessment of Exact Model Reduction in the BioModels Repository. 248-265 - Emilie Allart, Joachim Niehren, Cristian Versari:
Computing Difference Abstractions of Metabolic Networks Under Kinetic Constraints. 266-285
Tool Papers
- Judah Goldfeder, Hillel Kugler
BRE: IN - A Backend for Reasoning About Interaction Networks with Temporal Logic. 289-295 - Pierre Boutillier
The Kappa Simulator Made Interactive. 296-301 - George Assaf
Biochemical Reaction Networks with Fuzzy Kinetic Parameters in Snoopy. 302-307 - Christopher W. Lorton, Joshua L. Proctor, Min K. Roh, Philip A. Welkhoff:
Compartmental Modeling Software: A Fast, Discrete Stochastic Framework for Biochemical and Epidemiological Simulation. 308-314 - Jacek Chodak, Monika Heiner
Spike - Reproducible Simulation Experiments with Configuration File Branching. 315-321 - Russ Harmer
KAMIStudio: An Environment for Biocuration of Cellular Signalling Knowledge. 322-328 - Maria Pia Saccomani
A New Version of DAISY to Test Structural Identifiability of Biological Models. 329-334
Extended Abstracts (Posters and Highlight Talks)
- Milan Ceska
Semi-quantitative Abstraction and Analysis of Chemical Reaction Networks (Extended Abstract). 337-341 - Ankit Gupta, Mustafa Khammash, Guido Sanguinetti
Bayesian Parameter Estimation for Stochastic Reaction Networks from Steady-State Observations. 342-346 - Kaan Öcal, Ramon Grima, Guido Sanguinetti
Wasserstein Distances for Estimating Parameters in Stochastic Reaction Networks. 347-351 - Julien Martinelli, Jeremy Grignard, Sylvain Soliman, François Fages:
On Inferring Reactions from Data Time Series by a Statistical Learning Greedy Heuristics. 352-355 - David Safránek
Barbaric Robustness Monitoring Revisited for STL* in Parasim. 356-359 - Lenka Pribylová
Symmetry Breaking for GATA-1/PU.1 Model. 360-363 - Cui Su, Soumya Paul, Jun Pang:
Scalable Control of Asynchronous Boolean Networks. 364-367 - Akos Vertes
Transcriptional Response of SK-N-AS Cells to Methamidophos (Extended Abstract). 368-372 - Ines Abdeljaoued-Tej
Separators for Polynomial Dynamic Systems with Linear Complexity. 373-378 - Michael Backenköhler, Luca Bortolussi
Bounding First Passage Times in Chemical Reaction Networks - Poster Abstract. 379-382 - Matej Hajnal, Morgane Nouvian, Tatjana Petrov, David Safránek:
Data-Informed Parameter Synthesis for Population Markov Chains. 383-386
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