Computational Systems Biology

This comprehensively revised second edition of Computational Systems Biology discusses the experimental and theoretical foundations of the function of biological systems at the molecular, cellular or organismal level over temporal and spatial scales, as systems biology advances to provide clinical solutions to complex medical problems. In particular the work focuses on the engineering of biological systems and network modeling. Logical information flow aids understanding of basic building blocks of life through disease phenotypes Evolved principles gives insight into underlying organizational principles of biological organizations, and systems processes, governing functions such as adaptation or response patterns Coverage of technical tools and systems helps researchers to understand and resolve specific systems biology problems using advanced computation Multi-scale modeling on disparate scales aids researchers understanding of dependencies and constraints of spatio-temporal relationships fundamental to biological organization and function.

Produk Detail:

  • Author : Andres Kriete
  • Publisher : Academic Press
  • Pages : 548 pages
  • ISBN : 0124059384
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKComputational Systems Biology

Computational Systems Biology

Computational Systems Biology
  • Author : Andres Kriete,Roland Eils
  • Publisher : Academic Press
  • Release : 26 November 2013
GET THIS BOOKComputational Systems Biology

This comprehensively revised second edition of Computational Systems Biology discusses the experimental and theoretical foundations of the function of biological systems at the molecular, cellular or organismal level over temporal and spatial scales, as systems biology advances to provide clinical solutions to complex medical problems. In particular the work focuses on the engineering of biological systems and network modeling. Logical information flow aids understanding of basic building blocks of life through disease phenotypes Evolved principles gives insight into underlying organizational

An Introduction to Computational Systems Biology

An Introduction to Computational Systems Biology
  • Author : Karthik Raman
  • Publisher : CRC Press
  • Release : 30 May 2021
GET THIS BOOKAn Introduction to Computational Systems Biology

This book delivers a comprehensive and insightful account of applying mathematical modelling approaches to very large biological systems and networks—a fundamental aspect of computational systems biology. The book covers key modelling paradigms in detail, while at the same time retaining a simplicity that will appeal to those from less quantitative fields. Key Features: A hands-on approach to modelling Covers a broad spectrum of modelling, from static networks to dynamic models and constraint-based models Thoughtful exercises to test and enable

Learning and Inference in Computational Systems Biology

Learning and Inference in Computational Systems Biology
  • Author : Neil D. Lawrence,Guido Sanguinetti,Magnus Rattray,Mark Girolami
  • Publisher : Mit Press
  • Release : 23 May 2022
GET THIS BOOKLearning and Inference in Computational Systems Biology

Tools and techniques for biological inference problems at scales ranging from genome-wide to pathway-specific. Computational systems biology unifies the mechanistic approach of systems biology with the data-driven approach of computational biology. Computational systems biology aims to develop algorithms that uncover the structure and parameterization of the underlying mechanistic model--in other words, to answer specific questions about the underlying mechanisms of a biological system--in a process that can be thought of as learning or inference. This volume offers state-of-the-art perspectives from

Computational Systems Biology of Cancer

Computational Systems Biology of Cancer
  • Author : Emmanuel Barillot,Laurence Calzone,Philippe Hupe,Jean-Philippe Vert,Andrei Zinovyev
  • Publisher : CRC Press
  • Release : 25 August 2012
GET THIS BOOKComputational Systems Biology of Cancer

The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematical models—integrating our knowledge of tumour progression mechanisms with the tsunami of information brought by high-throughput technologies such as microarrays and next-generation sequencing. Offering promising insights on how to defeat cancer, the emerging field of systems biology captures the complexity of biological phenomena using mathematical and computational tools. Novel Approaches to Fighting Cancer Drawn from the

Computational Systems Biology Approaches in Cancer Research

Computational Systems Biology Approaches in Cancer Research
  • Author : Inna Kuperstein,Emmanuel Barillot
  • Publisher : CRC Press
  • Release : 09 September 2019
GET THIS BOOKComputational Systems Biology Approaches in Cancer Research

Praise for Computational Systems BiologyApproaches in Cancer Research: "Complex concepts are written clearly and with informative illustrations and useful links. The book is enjoyable to read yet provides sufficient depth to serve as a valuable resource for both students and faculty." — Trey Ideker, Professor of Medicine, UC Xan Diego, School of Medicine "This volume is attractive because it addresses important and timely topics for research and teaching on computational methods in cancer research. It covers a broad variety of approaches,

Computational Systems Biology

Computational Systems Biology
  • Author : Paola Lecca,Angela Re,Adaoha Elizabeth Ihekwaba,Ivan Mura,Thanh-Phuong Nguyen
  • Publisher : Woodhead Publishing
  • Release : 29 July 2016
GET THIS BOOKComputational Systems Biology

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

Systems Biology and Bioinformatics

Systems Biology and Bioinformatics
  • Author : Kayvan Najarian,Siamak Najarian,Shahriar Gharibzadeh,Christopher N. Eichelberger
  • Publisher : CRC Press
  • Release : 13 April 2009
GET THIS BOOKSystems Biology and Bioinformatics

The availability of molecular imaging and measurement systems enables today's biologists to swiftly monitor thousands of genes involved in a host of diseases, a critical factor in specialized drug development. Systems Biology and Bioinformatics: A Computational Approach provides students with a comprehensive collection of the computational methods

Frontiers in Computational and Systems Biology

Frontiers in Computational and Systems Biology
  • Author : Jianfeng Feng,Wenjiang Fu,Fengzhu Sun
  • Publisher : Springer Science & Business Media
  • Release : 14 June 2010
GET THIS BOOKFrontiers in Computational and Systems Biology

Biological and biomedical studies have entered a new era over the past two decades thanks to the wide use of mathematical models and computational approaches. A booming of computational biology, which sheerly was a theoretician’s fantasy twenty years ago, has become a reality. Obsession with computational biology and theoretical approaches is evidenced in articles hailing the arrival of what are va- ously called quantitative biology, bioinformatics, theoretical biology, and systems biology. New technologies and data resources in genetics, such

Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology

Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology
  • Author : Hamid R Arabnia,Quoc Nam Tran
  • Publisher : Morgan Kaufmann
  • Release : 11 August 2015
GET THIS BOOKEmerging Trends in Computational Biology, Bioinformatics, and Systems Biology

Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology discusses the latest developments in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation techniques. • Discusses the development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques to the study of biological and behavioral systems, including applications in cancer research, computational intelligence and drug design, high-performance computing, and biology, as well as cloud and grid

Elements of Computational Systems Biology

Elements of Computational Systems Biology
  • Author : Huma M. Lodhi,Stephen H. Muggleton
  • Publisher : John Wiley & Sons
  • Release : 25 March 2010
GET THIS BOOKElements of Computational Systems Biology

Groundbreaking, long-ranging research in this emergent field that enables solutions to complex biological problems Computational systems biology is an emerging discipline that is evolving quickly due to recent advances in biology such as genome sequencing, high-throughput technologies, and the recent development of sophisticated computational methodologies. Elements of Computational Systems Biology is a comprehensive reference covering the computational frameworks and techniques needed to help research scientists and professionals in computer science, biology, chemistry, pharmaceutical science, and physics solve complex biological problems.

Systemic Approaches in Bioinformatics and Computational Systems Biology: Recent Advances

Systemic Approaches in Bioinformatics and Computational Systems Biology: Recent Advances
  • Author : Lecca, Paola
  • Publisher : IGI Global
  • Release : 31 December 2011
GET THIS BOOKSystemic Approaches in Bioinformatics and Computational Systems Biology: Recent Advances

The convergence of biology and computer science was initially motivated by the need to organize and process a growing number of biological observations resulting from rapid advances in experimental techniques. Today, however, close collaboration between biologists, biochemists, medical researchers, and computer scientists has also generated remarkable benefits for the field of computer science. Systemic Approaches in Bioinformatics and Computational Systems Biology: Recent Advances presents new techniques that have resulted from the application of computer science methods to the organization and

An Introduction to Systems Biology

An Introduction to Systems Biology
  • Author : Uri Alon
  • Publisher : CRC Press
  • Release : 07 July 2006
GET THIS BOOKAn Introduction to Systems Biology

Thorough and accessible, this book presents the design principles of biological systems, and highlights the recurring circuit elements that make up biological networks. It provides a simple mathematical framework which can be used to understand and even design biological circuits. The textavoids specialist terms, focusing instead on several well-studied biological systems that concisely demonstrate key principles. An Introduction to Systems Biology: Design Principles of Biological Circuits builds a solid foundation for the intuitive understanding of general principles. It encourages the

Cancer Systems Biology

Cancer Systems Biology
  • Author : Edwin Wang
  • Publisher : CRC Press
  • Release : 04 May 2010
GET THIS BOOKCancer Systems Biology

The unprecedented amount of data produced with high-throughput experimentation forces biologists to employ mathematical representation and computation methods to glean meaningful information in systems-level biology. Applying this approach to the underlying molecular mechanisms of tumorigenesis, cancer researchers can uncover a series of new discov

Simulation Algorithms for Computational Systems Biology

Simulation Algorithms for Computational Systems Biology
  • Author : Luca Marchetti,Corrado Priami,Vo Hong Thanh
  • Publisher : Springer
  • Release : 27 September 2017
GET THIS BOOKSimulation Algorithms for Computational Systems Biology

This book explains the state-of-the-art algorithms used to simulate biological dynamics. Each technique is theoretically introduced and applied to a set of modeling cases. Starting from basic simulation algorithms, the book also introduces more advanced techniques that support delays, diffusion in space, or that are based on hybrid simulation strategies. This is a valuable self-contained resource for graduate students and practitioners in computer science, biology and bioinformatics. An appendix covers the mathematical background, and the authors include further reading sections