Collective Behavior In Systems Biology (ePub)
A Primer on Modeling Infrastructure
(Sprache: Englisch)
Collective Behavior In Systems Biology: A Primer on Modeling Infrastructure offers a survey of established and emerging methods for quantifying process behavior in cellular systems. It introduces and applies mathematics and related abstract methods to...
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Collective Behavior In Systems Biology: A Primer on Modeling Infrastructure offers a survey of established and emerging methods for quantifying process behavior in cellular systems. It introduces and applies mathematics and related abstract methods to processes in biological systems - why they are used, how they work, and what they mean. Emphasizing differential equations in an interdisciplinary approach, this book discusses infrastructure for kinetic modeling, technological system and control theories, optimization, and process behavior in cellular networks. The knowledge that the reader gains will be valuable for entering and keeping up with a rapidly developing discipline.
- Introduces basics of mathematical and abstract methods for understanding, predicting, and modifying collective behavior in cellular systems
- Targets biomedical professionals as well as computational specialists who are willing to take advantage of novel high-throughput data acquisition technologies
Autoren-Porträt von Assaf Steinschneider
Since childhood Dr. Steinschneider had been interested in general biology and chemistry, later on focusing more on plant and microbiology, genetics, and especially biochemistry. Having earned a BSc in agriculture and a PhD in molecular biology, his professional life was centered on research in a wide range of molecular life sciences at leading research universities in the United States and abroad where he also taught undergraduate- and graduate-level courses. His interests were in the infrastructure for investigating collective behavior in cellular systems and their processes.
Bibliographische Angaben
- Autor: Assaf Steinschneider
- 2019, 260 Seiten, Englisch
- Verlag: Elsevier Science & Techn.
- ISBN-10: 0128173378
- ISBN-13: 9780128173374
- Erscheinungsdatum: 04.09.2019
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eBook Informationen
- Dateiformat: ePub
- Größe: 3.54 MB
- Mit Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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