Contributors |
Preface |
Volumes in Series |
Correlation Analysis: A Tool for Comparing Relaxation-Type Models to Experimental Data / Maurizio Tomaiuolo ; Joel Tabak ; Richard Bertram1: |
Introduction |
Scatter Plots and Correlation Analysis / 2: |
Example 1: Relaxation Oscillations / 3: |
Example 2: Square Wave Bursting / 4: |
Example 3: Elliptic Bursting / 5: |
Example 4: Using Correlation Analysis on Experimental Data / 6: |
Summary / 7: |
Acknowledgments |
References |
Trait Variability of Cancer Cells Quantified by High-Content Automated Microscopy of Single Cells / Vito Quaranta ; Darren R. Tyson ; Shawn P. Garbett ; Brandy Weidow ; Mark P. Harris ; Walter Georgescu |
Background |
Experimental and Computational Workflow |
Application to Traits Relevant to Cancer Progression |
Conclusions |
Matrix Factorization for Recovery of Biological Processes from Microarray Data / Andrew V. Kossenkov ; Michael F. Ochs |
Overview of Methods |
Application to the Rosetta Compendium |
Results of Analyses |
Discussion |
Modeling and Simulation of the Immune System as a Self-Regulating Network / Peter S. Kim ; Doron Levy ; Peter P. Lee |
Mathematical Modeling of the Immune Network |
Two Examples of Models to Understand T Cell Regulation |
How to Implement Mathematical Models in Computer Simulations |
Concluding Remarks |
Acknowledgmentss |
Entropy Demystified: The ôThermoö-dynamics of Stochastically Fluctuating Systems / Hong Qian |
Energy |
Entropy and ôThermoö-dynamics of Markov Processes |
A Three-State Two-Cycle Motor Protein |
Phosphorylation-Dephosphorylation Cycle1 Kinetics |
Summary and Challenges |
Effect of Kinetics on Sedimentation Velocity Profiles and the Role of Intermediates / John J. Correia ; P. Holland Alday ; Peter Sherwood ; Walter F. Stafford |
Methods |
ABCD Systems |
Monomer-Tetramer Model |
Algebraic Models of Biochemical Networks / Reinhard Laubenbacher ; Abdul Salam Jarrah |
Computational Systems Biology |
Network Inference |
Reverse-Engineering of Discrete Models: An Example |
High-Through put Computing in the Sciences / Mark Morgan ; Andrew Grimshaw8: |
What is an HTC Application? |
HTC Technologies |
High-Throughput Computing Examples |
Advanced Topics |
Large Scale Transcriptome Data Integration Across Multiple Tissues to Decipher Stem Cell Signatures / Ghislain Bidaut ; Christian J. Stoeckert9: |
Systems and Data Sources |
Data Integration |
Artificial Neural Network Training and Validation |
Future Development and Enhancement Plans |
DynaFit-A Software Package for Enzymology / Petr Kuzmiĉ10: |
Equilibrium Binding Studies |
Initial Rates of Enzyme Reactions |
Time Course of Enzyme Reactions |
General Methods and Algorithms |
Discrete Dynamic Modeling of Cellular Signaling Networks / Réka Albert ; Rui-Sheng Wang11: |
Cellular Signaling Networks |
Boolean Dynamic Modeling |
Variants of Boolean Network Models |
Application Examples |
Conclusion and Discussion |
The Basic Concepts of Molecular Modeling / Akansha Saxena ; Diana Wong ; Karthikeyan Diraviyam ; David Sept12: |
Homology Modeling |
Molecular Dynamics |
Molecular Docking |
Deterministic and Stochastic Models of Genetic Regulatory Networks / Ilya Shmulevich ; John D. Aitchison13: |
Boolean Networks |
Differential Equation Models |
Probabilistic Boolean Networks |
Stochastic Differential Equation Models |
Bayesian Probability Approach to ADHD Appraisal / Raina Robeva ; Jennifer Kim Penberthy14: |
Bayesian Probability Algorithm |
The Value of Bayesian Probability Approach as a Meta-Analysis Tool |
Discussion and Future Directions |
Simple Stochastic Simulation / Maria J. Schilstra ; Stephen R. Martin15: |
Understanding Reaction Dynamics |
Graphical Notation |
Reactions |
Reaction Kinetics |
Transition Firing Rules |
Notes |
Monte Carlo Simulation in Establishing Analytical Quality Requirements for Clinical Laboratory Tests: Meeting Clinical Needs / James C. Boyd ; David E. Bruns16: |
Modeling Approach |
Methods for Simulation Study |
Results |
Nonlinear Dynamical Analysis and Optimization for Biological/Biomedical Systems / Amos Ben-Zvi ; Jong Mm Lee17: |
Hypothalamic-Pituitary-Adrenal Axis System |
Development of a Clinically Relevant Performance-Assessment Tools |
Dynamic Programming |
Computation of Optimal Treatments for HPA Axis System |
Modeling of Growth Factor-Receptor Systems: From Molecular-Level Protein Interaction Networks to Whole-Body Compartment Models / Florence T. H. Wu ; Marianne O. Stefanini ; Feilim Mac Gabhann ; Aleksander S. Popel18: |
Molecular-Level Kinetics Models: Simulation of In Vitro Experiments |
Mesoscale Single-Tissue 3D Models: Simulation of In Vivo Tissue Regions |
Single-Tissue Compartmental Models: Simulation at In Vivo Tissue |
Multitissue Compartmental Models: Simulation of Whole Body |
The Least-Squares Analysis of Data from Binding and Enzyme Kinetics Studies: Weights, Bias, and Confidence Intervals in Usual and Unusual Situations / Joel Tellinghuisen19: |
Least Squares Review |
Statistics of Reciprocals |
Weights When y is a True Dependent Variable |
Unusual Weighting: When x is the Dependent Variable |
Assessing Data Uncertainty: Variance Function Estimation |
Conclusion |
Nonparametric Entropy Estimation Using Kernel Densities / Douglas E. Lake20: |
Motivating Application: Classifying Cardiac Rhythms |
Renyi Entropy and the Friedman-Tukey Index |
Kernel Density Estimation |
Mean-Integrated Square Error |
Estimating the FT Index |
Connection Between Template Matches and Kernel Densities |
Summary and Future Work |
Pancreatic Network Control of Glucagon Secretion and Counterregulation / Leon S. Farhy ; Anthony L. McCall21: |
Mechanisms of Glucagon Counterregulation (GCR) Dysregulation in Diabetes |
Interdisciplinary Approach to Investigating the Defects in the GCR |
Initial Qualitative Analysis of the GCR Control Axis |
Mathematical Models of the GCR Control Mechanisms in STZ-Treated Rats |
Approximation of the Normal Endocrine Pancreas by a Minimal Control Network (MCN) and Analysis of the GCR Abnormalities in the Insulin Deficient Pancreas |
Advantages and Limitations of the Interdisciplinary Approach |
Enzyme Kinetics and Computational Modeling for Systems Biology / Pedro Mendes ; Hanan Messiha ; Naglis Malys ; Stefan Hoops22: |
Computational Modeling and Enzyme Kinetics |
Yeast Triosephosphate Isomerase (EC 5.3.1.1) |
Initial Rate Analysis |
Progress Curve Analysis |
Fitting Enzyme Kinetic Data with KinTek Global Kinetic Explorer / Kenneth A. Johnson23: |
Challenges of Fitting by Simulation |
Progress Curve Kinetics |
Fitting Full Progress Curves |
Slow Onset Inhibition Kinetics |
Author Index |
Subject Index |