Main description:

The combination of faster, more advanced computers and more quantitatively oriented biomedical researchers has recently yielded new and more precise methods for the analysis of biomedical data. These better analyses have enhanced the conclusions that can be drawn from biomedical data, and they have changed the way that experiments are designed and performed. This volume, along with previous and forthcoming Computer Methods volumes for the Methods in Enzymology serial, aims to inform biomedical researchers about recent applications of modern data analysis and simulation methods as applied to biomedical research.

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