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Complex systems science in biomedicine / edited by Thomas S. Deisboeck and J. Yasha Kresh. — New York, NY : Springer, c2006.—(61.268/C737)

Contents

        Contents
    
Part Ⅰ: Introduction
INTEGRATIVE SYSTEMS VIEW OF LIFE: PERSPECTIVES FROM GENERAL SYSTEMS THINKING 3
Part II: Complex Systems Science: The Basics
Chapter 1
METHODS AND TECHNIQUES OF COMPLEX SYSTEMS SCIENCE: AN OVERVIEW 33
Chapter 2
NONLINEAR DYNAMICAL SYSTEMS 115
Chapter 3
BIOLOGICAL SCALING AND PHYSIOLOGICAL TIME: BIOMEDICAL APPLICATIONS 141
Chapter 4
THE ARCHITECTURE OF BIOLOGICAL NETWORKS 165
Chapter 5
ROBUSTNESS IN BIOLOGICAL SYSTEMS: A PROVISIONAL TAXONOMY 183
Part III: Complex Adaptive Biosystems: A Multi-Scaled Approach
Section 111.1: Complexity in Molecular Networks
Chapter 1.1
NOISE IN GENE REGULATORY NETWORKS 211
Chapter 1.2
MODELING RNA FOLDING 227
Chapter 1.3
PROTEIN NETWORKS 247
Chapter 1.4
ELECTRONIC CELL ENVIRONMENTS: COMBINING GENE, PROTEIN, AND METABOLIC NETWORKS 265
Section 111.2: The Cell as a Complex System
Chapter 2.1
TENSEGRITY, DYNAMIC NETWORKS, AND COMPLEX SYSTEMS BIOLOGY: EMERGENCE IN STRUCTURAL AND INFORMATION NETWORKS WITHIN LIVING CELLS 283
Chapter 2.2
SPATIOTEMPORAL DYNAMICS OF EUKARYOTIC GRADIENT SENSING 311
Chapter 2.3
PATTERNING BY EGF RECEPTOR: MODELS FROM DROSOPHILA DEVELOPMENT 333
Section 111.3: Developmental Biology and the Cardiac System
Chapter 3.1
DEVELOPMENTAL BIOLOGY: BRANCHING MORPHOGENESIS 357
Chapter 3.2
MODELING CARDIAC FUNCTION 357
Chapter 3.3
CARDIAC OSCILLATIONS AND ARRHYTHMIA ANALYSIS 409
Section 111.4: The Immune System
Chapter 4.1
HOW DISTRIBUTED FEEDBACKS FROM MULTIPLE SENSORS CAN IMPROVE SYSTEM PERFORMANCE: IMMUNOLOGY AND MULTIPLE-ORGAN REGULATION 425
Chapter 4.2
MICROSIMULATION OF INDUCIBLE REORGANIZATION IN IMMUNITY 437
Chapter 4.3
THE COMPLEXITY OF THE IMMUNE SYSTEM: SCALING LAWS 451
Section 111.5: The Nervous System
Chaper 5.1
NEUROBIOLOGY AND COMPLEX BIOSYSTEM MODELING 463
Chapter 5.2
MODELING SPONTANEOUS EPISODIC ACTIVITY IN DEVELOPING NEURONAL NETWORKS 483
Section Ⅲ.6: Cancer: A Systems Approach
Chapter 6.1
MODELING CANCER AS A COMPLEX ADAPTIVE SYSTEM GENETIC INSTABILITY AND EVOLUTION 537
Chapter 6.2
SPATIAL DYNAMICS IN CANCER 557
Chapter 6.3
MODELING TUMORS AS COMPLEX BIOSYSTEMS AN AGENT-BASED APPROACH 573
Section Ⅲ 7: The Interaction of Complex Biosystems
Chapter 7.1
THE COMPLEXITY OF DYNAMIC HOST NETWORKS 605
Chapter 7.2
PHYSIOLOGIC FAILURE: MULTIPLE ORGAN DYSFUNCTION SYNDROME 631
Chapter 7.3
AGING AS A PROCESS OF COMPLEXITY LOSS 641
Part IV: Enabling Technologies
Chapter 1
BIOMEDICAL MICROFLUIDICS AND ELECTROKINETICS 657
Chapter 2
GENE SELECTION STRATEGIES IN MICROARRAY EXPRESSION DATA: APPLICATIONS TO CASE-CONTROL STUDIES 679
Chapter 3
APPLICATION OF BIOMOLECULAR COMPUTING TO MEDICAL SCIENCE: A BIOMOLECULAR DATABASE SYSTEM FOR STORAGE, PROCESSING, AND RETRIEVAL OF GENETIC INFORMATION AND MATERIAL 701
Chapter 4
TISSUE ENGINEERING: MULTISCALED REPRESENTATION OF TISSUE ARCHITECTURE AND FUNCTION 737
Chapter 5
IMAGING THE NEURAL SYSTEMS FOR MOTIVATED BEHAVIOR AND THEIR DYSFUNCTION IN NEUROPSYCHIATRIC ILLNESS 763
Chapter 6
A NEUROMORPHIC SYSTEM 811
Chapter 7
A BIOLOGICALLY INSPIRED APPROACH TOWARD AUTONOMOUS REAL-WORLD ROBOTS 827
Chapter 8
VIRTUAL REALITY, INTRAOPERAT1VE NAVIGATION, AND TELEPRESENCE SURGERY 837
Index 849