Description
1. Correlation Analysis: A New Tool for Comparing Relaxation-Type Models to Experimental Data Maurizio Tomaiuolo, Joel Tabak, Richard Bertram 2. Mathematical modeling of cancer Vito Quaranta 3. Pattern recognition in biological systems Michael Ochs 4. Modeling and simulations of the immune system as a self regulating network Peter P. Lee, Peter S. Kim and Doron Levy 5. Entropy Demystified: The Thermodynamics of Stochastically Fluctuating Systems Hong Qian 6. Effect of Kinetics on Sedimentation Velocity Profiles and the Role of Intermediates 9P. Holland Alday, Walter F Stafford and John J Correia 7. High Throughput Computing in the Sciences Mark Morgan and Andrew Grimshaw 8. Traffic theory applications in biology Steven Pincus 9. Large scale transcriptome data integration across multiple tissues to decipher stem cell signatures Ghislain Bidaut 10. DynaFit Peter Kuzmic 11. Discrete dynamic modeling of signaling networks Reka Albert and Ruisheng Wang 12. Fitting kinetic data by computer simulation methods Kenneth A. Johnson 13. Molecular modeling David Sept 14. Data integration and analysis of transcriptional networks Ilya Shmulevich and John D. Aitchison 15. A Bayesian probability approach to ADHD appraisal Raina Robeva 16. Enzyme kinetics parameter estimation using numerical simulation and optimization Pedro Mendes 17. Modelling partial hormonal feedback networks Leon Farhy, William S. Evans and Michael L Johnson
