Computational Modeling of Signaling Networks

Lan K. Nguyen

ISBN 10: 1071630105 / ISBN 13: 9781071630105

Edité par Springer US, Springer US, 2023

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - This volume focuses on the computational modeling of cell signaling networks and the application of these models and model-based analysis to systems and personalized medicine. Chapters guide readers through various modeling approaches for signaling networks, new methods and techniques that facilitate model development and analysis, and new applications of signaling network modeling towards systems and personalized treatment of cancer. Written in the format of the highly successfulMethods in Molecular Biologyseries, each chapter includes an introduction to the topic, lists necessary materials and methods, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols.Authoritative and cutting-edge,Computational Modeling of Signaling Networks aims to benefit a wide spectrum of readers including researchers from the biological as well as computational systems biology communities.

N° de réf. du vendeur 9781071630105

Détails bibliographiques

• Titre: Computational Modeling of Signaling Networks
• Éditeur: Springer US, Springer US
• Date de parution: 2023
• Langue: anglais
• ISBN à 10 chiffres: 1071630105
• ISBN à 13 chiffres: 9781071630105
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

This volume focuses on the computational modeling of cell signaling networks and the application of these models and model-based analysis to systems and personalized medicine. Chapters guide readers through various modeling approaches for signaling networks, new methods and techniques that facilitate model development and analysis, and new applications of signaling network modeling towards systems and personalized treatment of cancer. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and methods, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols.

 

Authoritative and cutting-edge, Computational Modeling of Signaling Networks aims to benefit a wide spectrum of readers including researchers from the biological as well as computational systems biology communities.