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Computational Systems Biology: Inference and Modelling

Unknown Author
4.9/5 (30860 ratings)
Description:Computational Systems Biology: Inference and Modelling provides an introduction to, and overview of, network analysis inference approaches which form the backbone of the model of the complex behavior of biological systems.This book addresses the challenge to integrate highly diverse quantitative approaches into a unified framework by highlighting the relationships existing among network analysis, inference, and modeling.The chapters are light in jargon and technical detail so as to make them accessible to the non-specialist reader. The book is addressed at the heterogeneous public of modelers, biologists, and computer scientists.Provides a unified presentation of network inference, analysis, and modelingExplores the connection between math and systems biology, providing a framework to learn to analyze, infer, simulate, and modulate the behavior of complex biological systemsIncludes chapters in modular format for learning the basics quickly and in the context of questions posed by systems biologyOffers a direct style and flexible formalism all through the exposition of mathematical concepts and biological applicationsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Computational Systems Biology: Inference and Modelling. To get started finding Computational Systems Biology: Inference and Modelling, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
0081000952

Computational Systems Biology: Inference and Modelling

Unknown Author
4.4/5 (1290744 ratings)
Description: Computational Systems Biology: Inference and Modelling provides an introduction to, and overview of, network analysis inference approaches which form the backbone of the model of the complex behavior of biological systems.This book addresses the challenge to integrate highly diverse quantitative approaches into a unified framework by highlighting the relationships existing among network analysis, inference, and modeling.The chapters are light in jargon and technical detail so as to make them accessible to the non-specialist reader. The book is addressed at the heterogeneous public of modelers, biologists, and computer scientists.Provides a unified presentation of network inference, analysis, and modelingExplores the connection between math and systems biology, providing a framework to learn to analyze, infer, simulate, and modulate the behavior of complex biological systemsIncludes chapters in modular format for learning the basics quickly and in the context of questions posed by systems biologyOffers a direct style and flexible formalism all through the exposition of mathematical concepts and biological applicationsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Computational Systems Biology: Inference and Modelling. To get started finding Computational Systems Biology: Inference and Modelling, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
0081000952
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