|
Wird oft zusammen gekauft
Kunden, die diesen Artikel gekauft haben, kauften auch
von Uri Alon
|
Systems Biology in Practice: Concepts, Implementation and Application von Edda Klipp |
von Kenneth J. Rothman
|
Partial Differential Equations for Scientists and Engineers (Dover Books on Advanced Mathematics) von Stanley J. Farlow |
von Paul Murrell
|
Produktinformation
Möchten Sie die Produktinformationen aktualisieren oder Feedback zu den Produktabbildungen geben?
|
Produktbeschreibungen
Pressestimmen
"This book is an excellent introduction to the concepts of stochastic modelling relevant for system biology applications based on stochastic processes . . . strongly recommended for classroom use, especially for computational systems biologists and statisticians."
– W. Urfer, in Statistical Papers, 2007, Vol. 48
Kurzbeschreibung
Although stochastic kinetic models are increasingly accepted as the best way to represent and simulate genetic and biochemical networks, most researchers in the field have limited knowledge of stochastic process theory. The stochastic processes formalism provides a beautiful, elegant, and coherent foundation for chemical kinetics and there is a wealth of associated theory every bit as powerful and elegant as that for conventional continuous deterministic models. The time is right for an introductory text written from this perspective. "Stochastic Modelling for Systems Biology" presents an accessible introduction to stochastic modelling using examples that are familiar to systems biology researchers. Focusing on computer simulation, the author examines the use of stochastic processes for modelling biological systems. He provides a comprehensive understanding of stochastic kinetic modelling of biological networks in the systems biology context.The text covers the latest simulation techniques and research material, such as parameter inference, and includes many examples and figures as well as software code in R for various applications. While emphasizing the necessary probabilistic and stochastic methods, the author takes a practical approach, rooting his theoretical development in discussions of the intended application. Written with self-study in mind, this book includes technical chapters that deal with the difficult problems of inference for stochastic kinetic models from experimental data. Providing enough background information to make the subject accessible to the non-specialist, the book integrates a fairly diverse literature into a single convenient and notationally consistent source.
Tags(Was ist das?)Bei einem Tag handelt es sich um ein Schlagwort, das zum Produkt passt.
Tags erleichtern allen Kunden die Suche und die Sortierung ihrer Lieblingsprodukte. |
Kundenrezensionen
|
Noch keine Kundenrezensionen vorhanden.
|
|||
|
Videorezensionen
|
|
Kunden diskutieren
|
Das Forum zu diesem Produkt
Fragen stellen. Meinungen austauschen. Neues erfahren.Aktive Diskussionen in ähnlichen Foren
|
Ähnliche Foren
|
|||||||||||||||||||||||||||||||
Lieblingslisten
|
|
Ähnliche Artikel finden
Anhand des Sachgebietes nach ähnlichen Produkten suchen:
Ihr Kommentar
Möchten Sie die Produktinformationen aktualisieren oder Feedback zu den Produktabbildungen geben?
Für Sie dokumentiert
(Was ist das?)|
Sobald Sie sich Produktseiten oder Suchergebnisse angesehen haben, finden Sie diese Seiten zu Ihrer Information hier aufgeführt. |
