Half Title Page.
1: Introducing Computational Systems Biology.
2: Structural Systems Biology: Modeling Interactions and Networks for Systems Studies.
3: Understanding Principles of the Dynamic Biochemical Networks of Life through Systems Biology.
4: Biological Foundations of Signal Transduction, Systems Biology and Aberrations in Disease.
5: Complexities in Quantitative Systems Analysis of Signaling Networks.
6: Gene Networks: Estimation, Modeling, and Simulation.
7: Reconstruction of Metabolic Network from Genome Information and Its Structural and Functional Analysis.
8: Standards, Platforms, and Applications.
9: Databases, Standards, and Modeling Platforms for Systems Biology.
10: Computational Models for Circadian Rhythms: Deterministic versus Stochastic Approaches.
11: Top-Down Dynamical Modeling of Molecular Regulatory Networks.
12: Discrete Gene Network Models for Understanding Multicellularity and Cell Reprogramming: From Network Structure to Attractor Landscapes Landscape.
13: Stochastic Simulations of Cellular Processes: From Single Cells to Colonies.
14: Advances in Machine Learning for Processing and Comparison of Metagenomic Data.
15: Systems Biology of Infectious Diseases and Vaccines.
16: Computational Modeling and Simulation of Animal Early Embryogenesis with the Mecagen Platform.
17: Developing a Systems Biology of Aging.
18: Molecular Correlates of Morphometric Subtypes in Glioblastoma Multiforme.
19: Applications in Cancer Research: Mathematical Models of Apoptosis.