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Complex Systems Science in Biomedicine
Complex Systems Science in Biomedicine Thomas S. Deisboeck and J. Yasha Kresh Complex Systems Science in Biomedicine covers the emerging field of systems science involving the application of physics, mathematics, engineering and computational methods and techniques to the study of biomedicine includ...
| Clasificación: | Libro Electrónico |
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| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer US : Imprint: Springer,
2006.
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| Edición: | 1st ed. 2006. |
| Colección: | Topics in Biomedical Engineering. International Book Series
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| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Integrative Systems View of Life: Perspectives from General Systems Thinking
- Complex Systems Science: The Basics
- Methods and Techniques of Complex Systems Science: An Overview
- Nonlinear Dynamical Systems
- Biological Scaling and Physiological Time: Biomedical Applications
- The Architecture of Biological Networks
- Robustness in Biological Systems: A Provisional Taxonomy
- Complex Adaptive Biosystems: A Multi-Scaled Approach
- Noise in Gene Regulatory Networks
- Modeling RNA Folding
- Protein Networks
- Electronic Cell Environments: Combining Gene, Protein, and Metabolic Networks
- Tensegrity, Dynamic Networks, and Complex Systems Biology: Emergence in Structural and Information Networks Within Living Cells
- Spatiotemporal Dynamics of Eukaryotic Gradient Sensing
- Patterning by EGF Receptor: Models from Drosophila Development
- Developmental Biology: Branching Morphogenesis
- Modeling Cardiac Function
- Cardiac Oscillations and Arrhythmia Analysis
- How Distributed Feedbacks from Multiple Sensors Can Improve System Performance: Immunology and Multiple-Organ Regulation
- Microsimulation of Inducible Reorganization in Immunity
- The Complexity of the Immune System: Scaling Laws
- Neurobiology and Complex Biosystem Modeling
- Modeling Spontaneous Episodic Activity in Developing Neuronal Networks
- Clinical Neuro-Cybernetics: Motor Learning in Neuronal Systems
- Modeling Cancer as A Complex Adaptive System: Genetic Instability and Evolution
- Spatial Dynamics in Cancer
- Modeling Tumors as Complex Biosystems: An Agent-Based Approach
- The Complexity of Dynamic Host Networks
- Physiologic Failure: Multiple Organ Dysfunction Syndrome
- Aging as a Process of Complexity Loss
- Enabling Technologies
- Biomedical Microfluidics and Electrokinetics
- Gene Selection Strategies in Microarray Expression Data: Applications to Case-Control Studies
- Application of Biomolecular Computing to Medical Science: A Biomolecular Database System for Storage, Processing, and Retrieval of Genetic Information and Material
- Tissue Engineering: Multiscaled Representation of Tissue Architecture and Function
- Imaging the Neural Systems for Motivated Behavior and Their Dysfunction in Neuropsychiatric Illness
- A Neuromorphic System
- A Biologically Inspired Approach Toward Autonomous Real-World Robots
- Virtual Reality, Intraoperative Navigation, and Telepresence Surgery.