Information Processing in Cells and Tissues [[electronic resource] ] : 10th International Conference, IPCAT 2015, San Diego, CA, USA, September 14-16, 2015, Proceedings / / edited by Michael Lones, Andy Tyrrell, Stephen Smith, Gary Fogel |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (VIII, 233 p. 94 illus.) |
Disciplina | 574.875 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Bioinformatics
Computer science Computer science—Mathematics Pattern recognition systems Computational and Systems Biology Theory of Computation Mathematical Applications in Computer Science Automated Pattern Recognition |
ISBN | 3-319-23108-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Biochemical Information Processing -- Surface-Immobilised DNA Molecular Machines for Information Processing -- 1 Information Processing with Bioelectronic Systems -- 2 Experimental Studies of DNA Machines on Surfaces -- 2.1 Materials and Methods -- 2.2 Experimental Results -- 3 Conclusion -- References -- Scalable Design of Logic Circuits Using an Active Molecular Spider System -- 1 Introduction -- 2 Model Description -- 3 Logic Circuit Construction -- 3.1 Normal Sites and Functional Sites -- 3.2 Designs of the AND and OR Gates -- 3.3 Design of the NOT Gate -- 3.4 Gate Cascades -- 3.5 Complexity Analysis -- 4 Formal Definition of the Model -- 4.1 Site Types and Transition Rules -- 4.2 Model Definition -- 5 Conclusions and Discussions -- References -- Organic Mathematics: On the Extension of Logics from Physical Atoms to Cellular Information Processes -- Abstract -- 1 Introduction -- 1.1 The Symbolic Gap -- 1.2 The Logical Gap -- 2 A Novel Electrical Notation for the Bio-chemical Sciences -- 2.1 Origins of Atomic Numbers -- 2.2 Extensions of the Atomic Numbers -- 3 Perplex Notation and Physical Dependence of Organic Operands and Operations -- 3.1 Physically Independent and Interdependent Electrical Particles -- 3.2 Constraints on Formal Electrical Logics -- 4 Mereology and Electrically Labeled Bipartite Graphs -- 4.1 Ratiocinations -- 4.2 Mereology -- 5 Conclusions -- 5.1 The Role of Hybridizations of Logics in Organic Mathematics -- 5.2 Future Work and International Collaboration -- 6 Summary -- References -- Collective and Distributed Behaviour -- An Ecosystem Algorithm for the Dynamic Redistribution of Bicycles in London -- 1 Introduction -- 2 Background -- 3 Problem Description -- 3.1 Problem Overview -- 3.2 Performance Indicators -- 3.3 Datasets -- 4 Method -- 4.1 Assumptions and Restrictions.
4.2 Bicycle Distribution Simulator -- 4.3 Truck Scheduling Algorithms -- 5 Experiments -- 6 Results and Analysis -- 7 Conclusion and Future Work -- 7.1 Conclusion -- 7.2 Future Work -- References -- Evolving Ensembles: What Can We Learn from Biological Mutualisms? -- 1 Introduction -- 2 Evolving Ensembles -- 3 Biological Mutualism -- 4 Mutualistic Evolutionary Algorithms -- 5 Evolving Mutualistic Ensembles -- 5.1 Promoting Mutuality -- 5.2 Identifying Partners -- 6 Conclusions -- References -- An Artificial Immune System for Self-Healing in Swarm Robotic Systems -- 1 Introduction -- 2 Robotic Swarm Taxis -- 2.1 Anchoring of the Swarm -- 3 Initial Investigations into the -algorithm -- 3.1 Experimental Protocol -- 4 Immune Inspiration: Granuloma Formation -- 4.1 Granuloma Formation Algorithm -- 5 Experimental Investigation: Granuloma Formation Algorithm -- 5.1 Results -- 5.2 Maintaining Energy Across the Swarm -- 6 Conclusion -- References -- Team Search Tactics Through Multi-Agent HyperNEAT -- 1 Introduction -- 2 Background -- 2.1 NeuroEvolution of Augmenting Topologies (NEAT) -- 2.2 CPPNs and HyperNEAT -- 2.3 Multi-Agent HyperNEAT -- 3 Experimental Method -- 3.1 Search Task -- 3.2 Agent Simulator -- 3.3 Sensing Tactical Environments -- 3.4 MA-HyperNEAT Agents -- 3.5 Scripted Agents -- 3.6 Evolution and Evaluation -- 4 Results -- 5 Conclusion -- References -- Patterning and Rhythm Generation -- miRNA Regulation of Human Embryonic Stem Cell Differentiation -- Abstract -- 1 Introduction -- 1.1 miRNA Dynamics and During hESC Differentiation -- 1.2 Chemical Regulators of Pluripotency -- 2 Methods -- 2.1 Stem Cell Culture and Differentiation -- 2.2 RNA Preparation -- 2.3 Network Analysis -- 3 Results -- 3.1 Correlated Expression of miRNAs During hESC Differentiation -- 3.2 Global Network Analysis. 3.3 Effect of Gö6976 on miRNA Expression During DE Formation -- 4 Discussion -- Acknowledgements -- Motifs Within Genetic Regulatory Networks Increase Organization During Pattern Formation -- 1 Introduction -- 2 Motifs Within Gene Regulatory Networks -- 3 Multicellular Model and Implementation -- 4 Methodology -- 4.1 Information Complexity -- 5 Results -- 6 Discussion -- References -- Harmonic Versus Chaos Controlled Oscillators in Hexapedal Locomotion -- 1 Introduction -- 2 Central Pattern Generators -- 2.1 Hopf Oscillator -- 2.2 Wu Oscillator -- 3 Interlimb Coordination -- 3.1 Hopf Oscillator -- 3.2 Chaos Controlled Wu Oscillator -- 4 Coupled Artificial Signalling Network -- 5 Controlling Legged Robot Locomotion -- 5.1 Gait Generation -- 5.2 Evolving Coupled Artificial Signalling Networks -- 6 Results -- 7 Conclusions -- References -- Biochemical Regulatory Networks -- Switching Gene Regulatory Networks -- 1 Introduction -- 2 Background -- 3 Switching Gene Regulatory Networks -- 4 SGRN Model Synthesis -- 5 Experimental Results -- 5.1 Benchmark Design -- 5.2 Results -- 6 Related Work -- 7 Conclusion -- References -- The Role of Ago2 in microRNA Biogenesis: An Investigation of miR-21 -- Abstract -- 1 Introduction -- 1.1 Ago2 -- 1.2 miR-21 -- 1.3 Summary -- 2 Methods -- 3 Results -- 4 Discussion -- Acknowledgements -- Evolving Efficient Solutions to Complex Problems Using the Artificial Epigenetic Network -- 1 Introduction -- 2 Background -- 3 The Artificial Epigenetic Network -- 3.1 Artificial Genes -- 3.2 Artificial Epigenetics -- 3.3 Adaptations -- 4 Methodology -- 4.1 Coupled Inverted Pendulums -- 4.2 Processor Scheduling -- 4.3 Towers of Hanoi -- 5 Results -- 5.1 Coupled Inverted Pendulums -- 5.2 Processor Scheduling -- 5.3 Towers of Hanoi -- 6 Conclusions -- References -- Metabolomics and Phenotypes. Sensitivity of Contending Cellular Objectives in the Central Carbon Metabolism of Escherichia Coli -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- References -- Towards a Graph-Theoretic Approach to Hybrid Performance Prediction from Large-Scale Phenotypic Data -- 1 Introduction -- 2 Dataset -- 3 Method -- 3.1 Problem Definition -- 3.2 Data Normalization -- 3.3 A Graph-Theoretic Approach for Predictive Breeding -- 4 Results -- 4.1 Biomass Performance Prediction -- 5 Conclusion and Future Work -- References -- Automated Motion Analysis of Adherent Cells in Monolayer Culture -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Cell Culture and Videomicroscopy -- 2.2 Cell Tracking -- 2.3 Feature Extraction -- 2.4 Choice of Features -- 2.4.1 Cell Migration Speed -- 2.4.2 Cell Migration Persistence -- 3 Results -- 4 Conclusion and Discussion -- References -- Neural Modelling and Neural Networks -- Community Detection as Pattern Restoration by Attractor Neural-Network Dynamics -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Neural-Network Dynamics -- 2.2 Imperfect and Inaccurate Set of Source Nodes: Deteriorated Pattern -- 2.3 Local Community Detection -- 2.4 State-of-the-Art Study -- 2.5 Biological Relevance -- 3 Results -- 3.1 Local Detection of Communities from Synthetic Benchmark Networks -- 3.2 Local Detection of Communities from Real Social Networks -- 4 Discussion -- Acknowledgments -- Appendix: Synthetic Benchmark Network -- References -- Feature Learning HyperNEAT: Evolving Neural Networks to Extract Features for Classification of Maritime Satellite Imagery -- 1 Intro -- 2 Background -- 2.1 BCCT200 -- 2.2 NeuroEvolution of Augmenting Topologies (NEAT) -- 2.3 CPPNs and HyperNEAT -- 3 Feature Learning HyperNEAT -- 4 Experimental Setup -- 5 Results -- 6 Discussion and Conclusion -- A Result Standard Deviations -- References. Improving Crossover of Neural Networks in Evolution Through Speciation -- 1 Introduction -- 2 NeuroEvolution of Augmenting Topologies (NEAT) -- 3 Speciation Heuristics -- 4 Experimental Approach -- 5 Results -- 6 Discussion -- 7 Conclusion -- A NEAT Parameters Shared Across Experiments -- References -- Author Index. |
Record Nr. | UNISA-996466466403316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Information Processing in Cells and Tissues : 10th International Conference, IPCAT 2015, San Diego, CA, USA, September 14-16, 2015, Proceedings / / edited by Michael Lones, Andy Tyrrell, Stephen Smith, Gary Fogel |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (VIII, 233 p. 94 illus.) |
Disciplina | 574.875 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Bioinformatics
Computer science Computer science—Mathematics Pattern recognition systems Computational and Systems Biology Theory of Computation Mathematical Applications in Computer Science Automated Pattern Recognition |
ISBN | 3-319-23108-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Biochemical Information Processing -- Surface-Immobilised DNA Molecular Machines for Information Processing -- 1 Information Processing with Bioelectronic Systems -- 2 Experimental Studies of DNA Machines on Surfaces -- 2.1 Materials and Methods -- 2.2 Experimental Results -- 3 Conclusion -- References -- Scalable Design of Logic Circuits Using an Active Molecular Spider System -- 1 Introduction -- 2 Model Description -- 3 Logic Circuit Construction -- 3.1 Normal Sites and Functional Sites -- 3.2 Designs of the AND and OR Gates -- 3.3 Design of the NOT Gate -- 3.4 Gate Cascades -- 3.5 Complexity Analysis -- 4 Formal Definition of the Model -- 4.1 Site Types and Transition Rules -- 4.2 Model Definition -- 5 Conclusions and Discussions -- References -- Organic Mathematics: On the Extension of Logics from Physical Atoms to Cellular Information Processes -- Abstract -- 1 Introduction -- 1.1 The Symbolic Gap -- 1.2 The Logical Gap -- 2 A Novel Electrical Notation for the Bio-chemical Sciences -- 2.1 Origins of Atomic Numbers -- 2.2 Extensions of the Atomic Numbers -- 3 Perplex Notation and Physical Dependence of Organic Operands and Operations -- 3.1 Physically Independent and Interdependent Electrical Particles -- 3.2 Constraints on Formal Electrical Logics -- 4 Mereology and Electrically Labeled Bipartite Graphs -- 4.1 Ratiocinations -- 4.2 Mereology -- 5 Conclusions -- 5.1 The Role of Hybridizations of Logics in Organic Mathematics -- 5.2 Future Work and International Collaboration -- 6 Summary -- References -- Collective and Distributed Behaviour -- An Ecosystem Algorithm for the Dynamic Redistribution of Bicycles in London -- 1 Introduction -- 2 Background -- 3 Problem Description -- 3.1 Problem Overview -- 3.2 Performance Indicators -- 3.3 Datasets -- 4 Method -- 4.1 Assumptions and Restrictions.
4.2 Bicycle Distribution Simulator -- 4.3 Truck Scheduling Algorithms -- 5 Experiments -- 6 Results and Analysis -- 7 Conclusion and Future Work -- 7.1 Conclusion -- 7.2 Future Work -- References -- Evolving Ensembles: What Can We Learn from Biological Mutualisms? -- 1 Introduction -- 2 Evolving Ensembles -- 3 Biological Mutualism -- 4 Mutualistic Evolutionary Algorithms -- 5 Evolving Mutualistic Ensembles -- 5.1 Promoting Mutuality -- 5.2 Identifying Partners -- 6 Conclusions -- References -- An Artificial Immune System for Self-Healing in Swarm Robotic Systems -- 1 Introduction -- 2 Robotic Swarm Taxis -- 2.1 Anchoring of the Swarm -- 3 Initial Investigations into the -algorithm -- 3.1 Experimental Protocol -- 4 Immune Inspiration: Granuloma Formation -- 4.1 Granuloma Formation Algorithm -- 5 Experimental Investigation: Granuloma Formation Algorithm -- 5.1 Results -- 5.2 Maintaining Energy Across the Swarm -- 6 Conclusion -- References -- Team Search Tactics Through Multi-Agent HyperNEAT -- 1 Introduction -- 2 Background -- 2.1 NeuroEvolution of Augmenting Topologies (NEAT) -- 2.2 CPPNs and HyperNEAT -- 2.3 Multi-Agent HyperNEAT -- 3 Experimental Method -- 3.1 Search Task -- 3.2 Agent Simulator -- 3.3 Sensing Tactical Environments -- 3.4 MA-HyperNEAT Agents -- 3.5 Scripted Agents -- 3.6 Evolution and Evaluation -- 4 Results -- 5 Conclusion -- References -- Patterning and Rhythm Generation -- miRNA Regulation of Human Embryonic Stem Cell Differentiation -- Abstract -- 1 Introduction -- 1.1 miRNA Dynamics and During hESC Differentiation -- 1.2 Chemical Regulators of Pluripotency -- 2 Methods -- 2.1 Stem Cell Culture and Differentiation -- 2.2 RNA Preparation -- 2.3 Network Analysis -- 3 Results -- 3.1 Correlated Expression of miRNAs During hESC Differentiation -- 3.2 Global Network Analysis. 3.3 Effect of Gö6976 on miRNA Expression During DE Formation -- 4 Discussion -- Acknowledgements -- Motifs Within Genetic Regulatory Networks Increase Organization During Pattern Formation -- 1 Introduction -- 2 Motifs Within Gene Regulatory Networks -- 3 Multicellular Model and Implementation -- 4 Methodology -- 4.1 Information Complexity -- 5 Results -- 6 Discussion -- References -- Harmonic Versus Chaos Controlled Oscillators in Hexapedal Locomotion -- 1 Introduction -- 2 Central Pattern Generators -- 2.1 Hopf Oscillator -- 2.2 Wu Oscillator -- 3 Interlimb Coordination -- 3.1 Hopf Oscillator -- 3.2 Chaos Controlled Wu Oscillator -- 4 Coupled Artificial Signalling Network -- 5 Controlling Legged Robot Locomotion -- 5.1 Gait Generation -- 5.2 Evolving Coupled Artificial Signalling Networks -- 6 Results -- 7 Conclusions -- References -- Biochemical Regulatory Networks -- Switching Gene Regulatory Networks -- 1 Introduction -- 2 Background -- 3 Switching Gene Regulatory Networks -- 4 SGRN Model Synthesis -- 5 Experimental Results -- 5.1 Benchmark Design -- 5.2 Results -- 6 Related Work -- 7 Conclusion -- References -- The Role of Ago2 in microRNA Biogenesis: An Investigation of miR-21 -- Abstract -- 1 Introduction -- 1.1 Ago2 -- 1.2 miR-21 -- 1.3 Summary -- 2 Methods -- 3 Results -- 4 Discussion -- Acknowledgements -- Evolving Efficient Solutions to Complex Problems Using the Artificial Epigenetic Network -- 1 Introduction -- 2 Background -- 3 The Artificial Epigenetic Network -- 3.1 Artificial Genes -- 3.2 Artificial Epigenetics -- 3.3 Adaptations -- 4 Methodology -- 4.1 Coupled Inverted Pendulums -- 4.2 Processor Scheduling -- 4.3 Towers of Hanoi -- 5 Results -- 5.1 Coupled Inverted Pendulums -- 5.2 Processor Scheduling -- 5.3 Towers of Hanoi -- 6 Conclusions -- References -- Metabolomics and Phenotypes. Sensitivity of Contending Cellular Objectives in the Central Carbon Metabolism of Escherichia Coli -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- References -- Towards a Graph-Theoretic Approach to Hybrid Performance Prediction from Large-Scale Phenotypic Data -- 1 Introduction -- 2 Dataset -- 3 Method -- 3.1 Problem Definition -- 3.2 Data Normalization -- 3.3 A Graph-Theoretic Approach for Predictive Breeding -- 4 Results -- 4.1 Biomass Performance Prediction -- 5 Conclusion and Future Work -- References -- Automated Motion Analysis of Adherent Cells in Monolayer Culture -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Cell Culture and Videomicroscopy -- 2.2 Cell Tracking -- 2.3 Feature Extraction -- 2.4 Choice of Features -- 2.4.1 Cell Migration Speed -- 2.4.2 Cell Migration Persistence -- 3 Results -- 4 Conclusion and Discussion -- References -- Neural Modelling and Neural Networks -- Community Detection as Pattern Restoration by Attractor Neural-Network Dynamics -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Neural-Network Dynamics -- 2.2 Imperfect and Inaccurate Set of Source Nodes: Deteriorated Pattern -- 2.3 Local Community Detection -- 2.4 State-of-the-Art Study -- 2.5 Biological Relevance -- 3 Results -- 3.1 Local Detection of Communities from Synthetic Benchmark Networks -- 3.2 Local Detection of Communities from Real Social Networks -- 4 Discussion -- Acknowledgments -- Appendix: Synthetic Benchmark Network -- References -- Feature Learning HyperNEAT: Evolving Neural Networks to Extract Features for Classification of Maritime Satellite Imagery -- 1 Intro -- 2 Background -- 2.1 BCCT200 -- 2.2 NeuroEvolution of Augmenting Topologies (NEAT) -- 2.3 CPPNs and HyperNEAT -- 3 Feature Learning HyperNEAT -- 4 Experimental Setup -- 5 Results -- 6 Discussion and Conclusion -- A Result Standard Deviations -- References. Improving Crossover of Neural Networks in Evolution Through Speciation -- 1 Introduction -- 2 NeuroEvolution of Augmenting Topologies (NEAT) -- 3 Speciation Heuristics -- 4 Experimental Approach -- 5 Results -- 6 Discussion -- 7 Conclusion -- A NEAT Parameters Shared Across Experiments -- References -- Author Index. |
Record Nr. | UNINA-9910483824003321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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