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| COMPUTER METHODS PART B, 467
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To order this title, and for more information, click here
Michael Johnson, University of Virginia Health Sciences Center, Charlottesville, USA
Ludwig Brand, McCollum-Pratt Institute, Johns Hopkins University, Baltimore, MD, USA
Included in series
Methods in Enzymology,
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)
| Bibliographic details |
Hardbound, 712 pages, publication date: NOV-2009
ISBN-13: 978-0-12-375023-5
Imprint: ACADEMIC PRESS
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Last update: 30 Jan 2010
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