Computational Modeling of Signaling Networks

. Ed(s): Liu, Xuedong; Betterton, Meredith D.

ISBN 10: 1617798320 / ISBN 13: 9781617798320

Published by Humana Press Inc., 2012

About this Item

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.

Seller Inventory # V9781617798320

Bibliographic Details

• Title: Computational Modeling of Signaling Networks
• Publisher: Humana Press Inc.
• Publication Date: 2012
• Language: English
• ISBN 10: 1617798320
• ISBN 13: 9781617798320
• Binding: Hardcover
• Condition: New

About this title

Synopsis

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.