Computer Methods Part B
Edited by- Michael Johnson, University of Virginia Health Sciences Center, Charlottesville, USA
- Ludwig Brand, McCollum-Pratt Institute, Johns Hopkins University, Baltimore, MD, USA
Methods in Enzymology
Hardbound, 712 Pages
Published: November 2009
Imprint: Academic Press
ISBN: 978-0-12-375023-5
Contents
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)
