Computational Modeling of Signaling Networks - Info and Reading Options
By Xuedong Liu
"Computational Modeling of Signaling Networks" was published by Humana Press in 2012 - Totowa, NJ, it has 327 pages and the language of the book is English.
“Computational Modeling of Signaling Networks” Metadata:
- Title: ➤ Computational Modeling of Signaling Networks
- Author: Xuedong Liu
- Language: English
- Number of Pages: 327
- Publisher: Humana Press
- Publish Date: 2012
- Publish Location: Totowa, NJ
“Computational Modeling of Signaling Networks” Subjects and Themes:
- Subjects: ➤ Cellular signal transduction - Cell interaction - Computational Biology - Laboratory Manuals - Methods - Signal Transduction - Metabolic Networks and Pathways - Biological Models
Edition Specifications:
- Pagination: xiv, 327
Edition Identifiers:
- The Open Library ID: OL49281120M - OL17582825W
- ISBN-13: 9781617798337
- All ISBNs: 9781617798337
AI-generated Review of “Computational Modeling of Signaling Networks”:
"Computational Modeling of Signaling Networks" Description:
Open Data:
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
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