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Record Nr. |
UNISA996211538803316 |
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Titolo |
Business & information systems engineering |
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Pubbl/distr/stampa |
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[Wiesbaden, Germany] : , : Gabler Verlag, , 2009- |
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ISSN |
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Descrizione fisica |
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Classificazione |
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Disciplina |
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Soggetti |
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Electronic digital computers |
Electronic data processing |
Ordinateurs |
Periodicals |
Zeitschrift |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Periodico |
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Note generali |
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Refereed/Peer-reviewed |
Published online only, 2009- |
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Sommario/riassunto |
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The journal's objective is to cement its competitive position as a prominent journal of the BISE (Business & Information Systems Engineering) community and reinforce that status through quality improvements and extending its readership. In addition, the journal seeks to establish design science oriented research within the global arena, secure a lasting position and reputation in the global BISE community, and foster constructive dialogue among the discipline's differing international models. Therefore, the journal aims at further developing the theoretical foundations of action in order to preserve sustainable approaches despite tempestuous technical development. Besides, the journal aspires to promote technology transfer in order to make better solutions available faster and to considerably reduce costs of system design and operation. The central mission is to develop, promote, and shape the BISE discipline for the benefit of its members and society. |
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2. |
Record Nr. |
UNINA9910588598903321 |
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Titolo |
Computational Methods in Systems Biology : 20th International Conference, CMSB 2022, Bucharest, Romania, September 14–16, 2022, Proceedings / / edited by Ion Petre, Andrei Păun |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (324 pages) |
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Collana |
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Lecture Notes in Bioinformatics, , 2366-6331 ; ; 13447 |
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Disciplina |
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Soggetti |
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Bioinformatics |
Computer systems |
Artificial intelligence |
Biological models |
Computational and Systems Biology |
Computer System Implementation |
Artificial Intelligence |
Biological Models |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chemical Reaction Networks Algebraic Biochemistry: a Framework for On-line Analog Computation in Cells -- Abstract Simulation of Reaction Networks via Boolean Networks -- Abstraction-Based Segmental Simulation of Chemical Reaction Networks -- Qualitative dynamics of chemical reaction networks: an investigation using partial tropical equilibrations -- Boolean Networks Prioritization of candidate genes through Boolean networks -- Variable Stabilisation in Boolean Monotonic Model Pools -- Variable-Depth Simulation of Most Permissive Boolean Networks -- Minimal trap spaces of Logical models are maximal siphons of their Petri net encoding -- Continuous and Hybrid Models Stability versus Metastability in a Model of Skin Fages Exact linear reduction for rational dynamical systems -- Limit cycle analysis of a class of hybrid gene regulatory networks -- Machine |
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Learning Bayesian learning of effective chemical master equations in crowded intracellular conditions -- Probabilistic Multivariate Early WarningSignals -- A Meta-Species Language for Chemical Reaction Networks -- Automated Generation of Conditional Moment Equations for Stochastic Reaction Networks -- An Extension of ERODE to Reduce Boolean Networks by Backward Boolean Equivalence -- 2.0: Modelling and Analysis of Regulated Rule-based Systems. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the 20th International Conference on Computational Methods in Systems Biology, CMSB 2022, held in Bucharest, Romania, in September 2022. The 13 full papers and 4 tool papers were carefully reviewed and selected from 43 submissions. CMSB focuses on modeling, simulation, analysis, design and control of biological systems. The papers are arranged thematically as follows: Chemical reaction networks; Boolean networks; continuous and hybrid models; machine learning; software. |
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