Meredith Betterton (28 results)

Condition: New.

Condition: New. In.

Condition: New. 2016. Paperback. . . . . .

Condition: New.

Condition: New. In.

Paperback. Condition: Brand New. reprint edition. 327 pages. 10.00x7.01x0.81 inches. In Stock.

Condition: New. 2016. Paperback. . . . . . Books ship from the US and Ireland.

Condition: New. pp. 344.

Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condition: New. pp. 341.

Condition: New. Focusing on Systems of ODEs, parameterization of signaling models, signaling pathways, mass-action kinetics and ODEs and how to use modeling to plan experiments, this Methods in Molecular Biology(TM) book details steps for getting optimal laboratory results. Editor(s): Liu, Xuedong; Betterton, Meredith D. Series: Methods in Molecular Biology. Num Pages: 327 pages, 13 black & white tables, biography. BIC Classification: PSD; PSF. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 25. Weight in Grams: 841. . 2012. Hardback. . . . .

Buch. Condition: Neu. Neuware -Signaling networks are composed of numerous signaling pathways and each has its own intricate component parts. Signaling outputs are dynamic, extraordinarily complex and yet highly specific. In, Computational Modeling of Signaling Networks: Methods and Protocols, expert researchers in the field provide key techniques to study signaling networks. Focusing on Systems of ODEs, parameterization of signaling models, signaling pathways, mass-action kinetics and ODEs, and how to use modeling to plan experiments. Written in the highly successful Methods in Molecular Biology¿ series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory.Thorough and intuitive, Computational Modeling of Signaling Networks: Methods and Protocols aids scientists in continuing study of how signaling networks behave in space and time to generate specific biological responses and how those responses impact biology and medicine.Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 344 pp. Englisch.

Hardcover. Condition: Brand New. 2012 edition. 341 pages. 10.25x7.25x1.00 inches. In Stock.

Condition: New. Focusing on Systems of ODEs, parameterization of signaling models, signaling pathways, mass-action kinetics and ODEs and how to use modeling to plan experiments, this Methods in Molecular Biology(TM) book details steps for getting optimal laboratory results. Editor(s): Liu, Xuedong; Betterton, Meredith D. Series: Methods in Molecular Biology. Num Pages: 327 pages, 13 black & white tables, biography. BIC Classification: PSD; PSF. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 25. Weight in Grams: 841. . 2012. Hardback. . . . . Books ship from the US and Ireland.

Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Signaling networks are composed of numerous signaling pathways and each has its own intricate component parts. Signaling outputs are dynamic, extraordinarily complex and yet highly specific. In, Computational Modeling of Signaling Networks: Methods and Protocols, expert researchers in the field provide key techniques to study signaling networks. Focusing on Systems of ODEs, parameterization of signaling models, signaling pathways, mass-action kinetics and ODEs, and how to use modeling to plan experiments. Written in the highly successful Methods in Molecular Biology(TM) series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory. Thorough and intuitive, Computational Modeling of Signaling Networks: Methods and Protocols aids scientists in continuing study of how signaling networks behave in space and time to generate specific biological responses and how those responses impact biology and medicine. 344 pp. Englisch.

Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Demonstrates how modeling is currently being applied to research in signalingProvides step-by-step detail essential for reproducible results Contains key notes and implementation advice from the expertsSignaling networks are comp.

Taschenbuch. Condition: Neu. Computational Modeling of Signaling Networks | Meredith D. Betterton (u. a.) | Taschenbuch | xiv | Englisch | 2016 | Humana | EAN 9781493958436 | Verantwortliche Person für die EU: Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Signaling networks are composed of numerous signaling pathways and each has its own intricate component parts. Signaling outputs are dynamic, extraordinarily complex and yet highly specific. In, Computational Modeling of Signaling Networks: Methods and Protocols, expert researchers in the field provide key techniques to study signaling networks. Focusing on Systems of ODEs, parameterization of signaling models, signaling pathways, mass-action kinetics and ODEs, and how to use modeling to plan experiments. Written in the highly successful Methods in Molecular Biology¿ series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory.Thorough and intuitive, Computational Modeling of Signaling Networks: Methods and Protocols aids scientists in continuing study of how signaling networks behave in space and time to generate specific biological responses and how those responses impact biology and medicine.Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 344 pp. Englisch.

Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Demonstrates how modeling is currently being applied to research in signalingProvides step-by-step detail essential for reproducible results Contains key notes and implementation advice from the expertsSignaling networks are comp.

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Signaling networks are composed of numerous signaling pathways and each has its own intricate component parts. Signaling outputs are dynamic, extraordinarily complex and yet highly specific. In, Computational Modeling of Signaling Networks: Methods and Protocols, expert researchers in the field provide key techniques to study signaling networks. Focusing on Systems of ODEs, parameterization of signaling models, signaling pathways, mass-action kinetics and ODEs, and how to use modeling to plan experiments. Written in the highly successful Methods in Molecular Biology(TM) series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory. Thorough and intuitive, Computational Modeling of Signaling Networks: Methods and Protocols aids scientists in continuing study of how signaling networks behave in space and time to generate specific biological responses and how those responses impact biology and medicine. 344 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Signaling networks are composed of numerous signaling pathways and each has its own intricate component parts. Signaling outputs are dynamic, extraordinarily complex and yet highly specific. In, Computational Modeling of Signaling Networks: Methods and Protocols, expert researchers in the field provide key techniques to study signaling networks. Focusing on Systems of ODEs, parameterization of signaling models, signaling pathways, mass-action kinetics and ODEs, and how to use modeling to plan experiments. Written in the highly successful Methods in Molecular Biology(TM) series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory. Thorough and intuitive, Computational Modeling of Signaling Networks: Methods and Protocols aids scientists in continuing study of how signaling networks behave in space and time to generate specific biological responses and how those responses impact biology and medicine.

Condition: New. Print on Demand pp. 344 75 Illus. (10 Col.).

Buch. Condition: Neu. Computational Modeling of Signaling Networks | Meredith D. Betterton (u. a.) | Buch | xiv | Englisch | 2012 | Humana Press | EAN 9781617798320 | Verantwortliche Person für die EU: Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Condition: New. Print on Demand pp. 341.

Condition: New. PRINT ON DEMAND pp. 344.

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Signaling networks are composed of numerous signaling pathways and each has its own intricate component parts. Signaling outputs are dynamic, extraordinarily complex and yet highly specific. In, Computational Modeling of Signaling Networks: Methods and Protocols, expert researchers in the field provide key techniques to study signaling networks. Focusing on Systems of ODEs, parameterization of signaling models, signaling pathways, mass-action kinetics and ODEs, and how to use modeling to plan experiments. Written in the highly successful Methods in Molecular Biology(TM) series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory. Thorough and intuitive, Computational Modeling of Signaling Networks: Methods and Protocols aids scientists in continuing study of how signaling networks behave in space and time to generate specific biological responses and how those responses impact biology and medicine.

Condition: New. PRINT ON DEMAND pp. 341.