Computer Methods Part B
Description
Key Features
* Presents step-by-step computer methods and discusses the techniques in detail to enable their implementation in solving a wide range of problems
* Informs biomedical researchers of the modern data analysis methods that have developed alongside computer hardware
*Presents methods at the "nuts and bolts" level to identify and resolve a problem and analyze what the results mean
Readership
Biochemists, molecular biologists, cell biologists, biomedical researchers, microbiologists, and developmental biologists
Table of 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)
Product details
- No. of pages: 712
- Language: English
- Copyright: © Academic Press 2009
- Published: November 5, 2009
- Imprint: Academic Press
- Hardcover ISBN: 9780123750235
- eBook ISBN: 9780080962801