Buch

---

Übersicht

---

Verlag	:	Springer International Publishing
Buchreihe	:	Lecture Notes in Bioinformatics, Lecture Notes in Computer Science (Bd. 11773)
Sprache	:	Englisch
Erschienen	:	17. 09. 2019
Seiten	:	350
Einband	:	Kartoniert
Höhe	:	235 mm
Breite	:	155 mm
ISBN	:	9783030313036
Sprache	:	Englisch

---

Inhaltsverzeichnis

---

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.

Deine Buchhandlung

---