Investigating Biological Systems Using Modeling: Strategies and Software
Autor Meryl E. Wastney, Blossom H. Patterson, Oscar A. Linares, Peter C. Greif, Raymond C. Bostonen Limba Engleză Hardback – 2 noi 1998
- Contains practical descriptions of how to analyze kinetic data
- Provides examples of how to develop and use models
- Describes several software packages including SAAM/CONSAM
- Includes software with working models
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Specificații
ISBN-13: 9780127367408
ISBN-10: 0127367403
Pagini: 382
Ilustrații: 1
Dimensiuni: 152 x 229 x 22 mm
Greutate: 0.89 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0127367403
Pagini: 382
Ilustrații: 1
Dimensiuni: 152 x 229 x 22 mm
Greutate: 0.89 kg
Editura: ELSEVIER SCIENCE
Public țintă
AUDIENCE: Graduate students and professionals in the fields of medicine, physiology, biochemistry, biomathematics, pharmacology, agricultural systems, nutrition, and animal science.Cuprins
Introduction:
What is Modeling?
The Steps in Building a Model.
The Difference Between Building a Model and Using a Model.
Why Model Biological Systems?
Modeling Software:
Review of Software.
WinSAAM.
Concepts and Tools of Modeling:
Building Models in Sections.
Techniques and Tools to Facilitate Model Development.
Strategies for Modeling Biological Systems:
Experimental Design and Data Collection.
Starting Modeling and Developing a Model.
Rejecting Hypotheses and Accepting a Model.
Model Summarization.
Multiple Studies Analysis.
Information in the Model.
Errors in Compartmental Modeling.
Testing Robustness: Sensitivity, Identifiability, and Stability.
Evaluating and Using Published Models:
Why Use a Published Model?
Reviewing and Summarizing Published Models.
The Model Translation Process.
Verification and Validation.
Using the Model.
A Library of Models.
Subject Index.
Appendices.
What is Modeling?
The Steps in Building a Model.
The Difference Between Building a Model and Using a Model.
Why Model Biological Systems?
Modeling Software:
Review of Software.
WinSAAM.
Concepts and Tools of Modeling:
Building Models in Sections.
Techniques and Tools to Facilitate Model Development.
Strategies for Modeling Biological Systems:
Experimental Design and Data Collection.
Starting Modeling and Developing a Model.
Rejecting Hypotheses and Accepting a Model.
Model Summarization.
Multiple Studies Analysis.
Information in the Model.
Errors in Compartmental Modeling.
Testing Robustness: Sensitivity, Identifiability, and Stability.
Evaluating and Using Published Models:
Why Use a Published Model?
Reviewing and Summarizing Published Models.
The Model Translation Process.
Verification and Validation.
Using the Model.
A Library of Models.
Subject Index.
Appendices.