Big Mechanisms in Systems Biology

Big Mechanisms in Systems Biology: Big Data Mining, Network Modeling, and Genome-Wide Data Identification explains big mechanisms of systems biology by system identification and big data mining methods using models of biological systems. Systems biology is currently undergoing revolutionary changes in response to the integration of powerful technologies. Faced with a large volume of available literature, complicated mechanisms, small prior knowledge, few classes on the topics, and causal and mechanistic language, this is an ideal resource. This book addresses system immunity, regulation, infection, aging, evolution, and carcinogenesis, which are complicated biological systems with inconsistent findings in existing resources. These inconsistencies may reflect the underlying biology time-varying systems and signal transduction events that are often context-dependent, which raises a significant problem for mechanistic modeling since it is not clear which genes/proteins to include in models or experimental measurements. The book is a valuable resource for bioinformaticians and members of several areas of the biomedical field who are interested in an in-depth understanding on how to process and apply great amounts of biological data to improve research. Written in a didactic manner in order to explain how to investigate Big Mechanisms by big data mining and system identification Provides more than 140 diagrams to illustrate Big Mechanism in systems biology Presents worked examples in each chapter

Produk Detail:

  • Author : Bor-Sen Chen
  • Publisher : Academic Press
  • Pages : 878 pages
  • ISBN : 0128097078
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKBig Mechanisms in Systems Biology

Big Mechanisms in Systems Biology

Big Mechanisms in Systems Biology
  • Author : Bor-Sen Chen,Cheng-Wei Li
  • Publisher : Academic Press
  • Release : 25 October 2016
GET THIS BOOKBig Mechanisms in Systems Biology

Big Mechanisms in Systems Biology: Big Data Mining, Network Modeling, and Genome-Wide Data Identification explains big mechanisms of systems biology by system identification and big data mining methods using models of biological systems. Systems biology is currently undergoing revolutionary changes in response to the integration of powerful technologies. Faced with a large volume of available literature, complicated mechanisms, small prior knowledge, few classes on the topics, and causal and mechanistic language, this is an ideal resource. This book addresses system

Epigenetics and Systems Biology

Epigenetics and Systems Biology
  • Author : Leonie Ringrose
  • Publisher : Academic Press
  • Release : 25 April 2017
GET THIS BOOKEpigenetics and Systems Biology

Epigenetics and Systems Biology highlights the need for collaboration between experiments and theoretical modeling that is required for successful application of systems biology in epigenetics studies. This book breaks down the obstacles which exist between systems biology and epigenetics researchers due to information barriers and segmented research, giving real-life examples of successful combinations of systems biology and epigenetics experiments. Each section covers one type of modeling and one set of epigenetic questions on which said models have been successfully applied.

Molecular Mechanisms of Autonomy in Biological Systems

Molecular Mechanisms of Autonomy in Biological Systems
  • Author : Tara Karimi
  • Publisher : Springer
  • Release : 28 July 2018
GET THIS BOOKMolecular Mechanisms of Autonomy in Biological Systems

This book presents a novel molecular description for understanding the regulatory mechanisms behind the autonomy and self-organization in biological systems. Chapters focus on defining and explaining the regulatory molecular mechanisms behind different aspects of autonomy and self-organization in the sense of autonomous coding, data processing, structure (mass) formation and energy production in a biological system. Subsequent chapters discuss the cross-talk among mechanisms of energy, and mass and information, transformation in biological systems. Other chapters focus on applications regarding therapeutic approaches

Systems Immunology and Infection Microbiology

Systems Immunology and Infection Microbiology
  • Author : Bor-Sen Chen
  • Publisher : Academic Press
  • Release : 16 March 2021
GET THIS BOOKSystems Immunology and Infection Microbiology

Systems Immunology and Infection Microbiology provides a large amount of biological system models, diagrams and flowcharts to illustrate development procedures and help users understand the results of systems immunology and infection microbiology. Chapters discuss systems immunology, systems infection microbiology, systematic inflammation and immune responses in restoration and regeneration process, systems' innate and adaptive immunity in infection process, systematic genetic and epigenetic pathogenic/defensive mechanism during bacterial infection on human cells is introduced, and the systematic genetic and epigenetic pathogenic/defensive

Cellular-Molecular Mechanisms in Epigenetic Evolutionary Biology

Cellular-Molecular Mechanisms in Epigenetic Evolutionary Biology
  • Author : John Torday,William Miller Jr.
  • Publisher : Springer Nature
  • Release : 13 February 2020
GET THIS BOOKCellular-Molecular Mechanisms in Epigenetic Evolutionary Biology

There has been no mechanistic explanation for evolutionary change consistent with phylogeny in the 150 years since the publication of ‘Origins’. As a result, progress in the field of evolutionary biology has stagnated, relying on descriptive observations and genetic associations rather testable scientific measures. This book illuminates the need for a larger evolutionary-based platform for biology. Like physics and chemistry, biology needs a central theory in order to frame the questions that arise, the way hypotheses are tested, and how to

Systems Biology

Systems Biology
  • Author : Dimitrios Vlachakis
  • Publisher : BoD – Books on Demand
  • Release : 19 June 2019
GET THIS BOOKSystems Biology

Systems biology is the inevitable outcome of long years of knowledge acquisition and data accumulation. The aim of systems biology is to integrate in a seamless way all existing knowledge in interconnected disciplines, stretching from modern biomedical research to physics, chemistry, and mathematics. The main integration tool of such complex biomedical systems is via computational and mathematical modeling. In this direction, a series of state-of-the-art computer science techniques are used, namely, data mining and fusion, machine learning, and deep learning

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

Computational Methods in Systems Biology

Computational Methods in Systems Biology
  • Author : Jérôme Feret,Heinz Koeppl
  • Publisher : Springer
  • Release : 06 October 2017
GET THIS BOOKComputational Methods in Systems Biology

This book constitutes the refereed proceedings of the 15th International Conference on Computational Methods in Systems Biology, CMSB 2017, held in Darmstadt, Germany, in September 2017. The 15 full papers, 4 tool papers and 4 posters presented together with 1 invited talk were carefully reviewed and selected from 41 regular paper submissions. Topics of interest include formalisms for modeling biological processes; models and their biological applications; frameworks for model verication, validation, analysis, and simulation of biological systems; high-performance computational systems biology and parallel implementations; model inference from

Philosophy of Systems Biology

Philosophy of Systems Biology
  • Author : Sara Green
  • Publisher : Springer
  • Release : 15 December 2016
GET THIS BOOKPhilosophy of Systems Biology

The emergence of systems biology raises many fascinating questions: What does it mean to take a systems approach to problems in biology? To what extent is the use of mathematical and computational modelling changing the life sciences? How does the availability of big data influence research practices? What are the major challenges for biomedical research in the years to come? This book addresses such questions of relevance not only to philosophers and biologists but also to readers interested in the

Janeway's Immunobiology

Janeway's Immunobiology
  • Author : Murphy, Kenneth M.,Weaver, Casey
  • Publisher : W.W. Norton & Company
  • Release : 22 March 2016
GET THIS BOOKJaneway's Immunobiology

Explore the premier text for immunology at the advanced undergraduate, graduate, and medical school levels. Beginning students appreciate the bookÕs clear writing and informative illustrations, while advanced students and working immunologists value its comprehensive scope and depth. This edition is thoroughly revised and up to date with significant developments in the field, especially on the topic of innate immunity.

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