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Big Mechanisms in Systems Biology

Big Mechanisms in Systems Biology
  • Author : Bor-Sen Chen
  • Publsiher : Academic Press
  • Release : 25 October 2016
  • ISBN : 0128097078
  • Pages : 878 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKBig Mechanisms in Systems Biology

Summary:
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


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

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Systems Cancer Biology

Systems Cancer Biology
  • Author : Bor-Sen Chen
  • Publisher : Cambridge Scholars Publishing
  • Release : 13 July 2021
GET THIS BOOKSystems Cancer Biology

Cancer is a complex and heterogeneous (systematic) disease that exhibits high levels of robustness against various therapeutic interventions. Due to the complex, heterogeneous, and evolving nature of cancer, it is essential for a system-oriented view to be adopted in order to understand the pathogenic mechanism of cancer which will eventually lead to the drug discovery and treatment of patients. This book not only provides new insights from system modeling and large scale experimental data, but also will allow the reader

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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

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Bioinformatics in the Era of Post Genomics and Big Data

Bioinformatics in the Era of Post Genomics and Big Data
  • Author : Ibrokhim Y. Abdurakhmonov
  • Publisher : BoD – Books on Demand
  • Release : 20 June 2018
GET THIS BOOKBioinformatics in the Era of Post Genomics and Big Data

Bioinformatics has evolved significantly in the era of post genomics and big data. Huge advancements were made toward storing, handling, mining, comparing, extracting, clustering and analysis as well as visualization of big macromolecular data using novel computational approaches, machine and deep learning methods, and web-based server tools. There are extensively ongoing world-wide efforts to build the resources for regional hosting, organized and structured access and improving the pre-existing bioinformatics tools to efficiently and meaningfully analyze day-to-day increasing big data. This

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Computational Methods in Systems Biology

Computational Methods in Systems Biology
  • Author : Jérôme Feret,Heinz Koeppl
  • Publisher : Springer
  • Release : 18 September 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

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Big Data Analytics in Bioinformatics and Healthcare

Big Data Analytics in Bioinformatics and Healthcare
  • Author : Wang, Baoying
  • Publisher : IGI Global
  • Release : 31 October 2014
GET THIS BOOKBig Data Analytics in Bioinformatics and Healthcare

As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information. Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of

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Systems Biology and the Challenge of Deciphering the Metabolic Mechanisms Underlying Cancer

Systems Biology and the Challenge of Deciphering the Metabolic Mechanisms Underlying Cancer
  • Author : Osbaldo Resendis-Antonio,Christian Diener
  • Publisher : Frontiers Media SA
  • Release : 23 November 2017
GET THIS BOOKSystems Biology and the Challenge of Deciphering the Metabolic Mechanisms Underlying Cancer

Since the discovery of the Warburg effect in the 1920s cancer has been tightly associated with the genetic and metabolic state of the cell. One of the hallmarks of cancer is the alteration of the cellular metabolism in order to promote proliferation and undermine cellular defense mechanisms such as apoptosis or detection by the immune system. However, the strategies by which this is achieved in different cancers and sometimes even in different patients of the same cancer is very heterogeneous,

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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

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Computational Methods in Systems Biology

Computational Methods in Systems Biology
  • Author : Milan Češka,David Šafránek
  • Publisher : Springer
  • Release : 27 August 2018
GET THIS BOOKComputational Methods in Systems Biology

This book constitutes the refereed proceedings of the 16th International Conference on Computational Methods in Systems Biology, CMSB 2018, held in BRNO, Czech Republic, in September 2018. The 15 full and 7 short papers presented together with 5 invited talks were carefully reviewed and selected from 46 submissions. Topics of interest include formalisms for modeling biological processes; models and their biological applications; frameworks for model verification, validation, analysis, and simulation of biological systems; high-performance computational systems biology; parameter and model inference from experimental data; automated parameter

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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,

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Omics Approaches in Breast Cancer

Omics Approaches in Breast Cancer
  • Author : Debmalya Barh
  • Publisher : Springer
  • Release : 13 October 2014
GET THIS BOOKOmics Approaches in Breast Cancer

Breast cancer is the most common cancer in females that accounts for highest cancer specific deaths worldwide. In the last few decades research has proven that breast cancer can be treated if diagnosed at early stages and proper therapeutic strategy is adopted. Omics-based recent approaches have unveiled the molecular mechanism behind the breast tumorigenesis and aid in identification of next-generation molecular markers for early diagnosis, prognosis and even the effective targeted therapy. Significant development has taken place in the field

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Systems Biology in Animal Production and Health, Vol. 1

Systems Biology in Animal Production and Health, Vol. 1
  • Author : Haja N. Kadarmideen
  • Publisher : Springer
  • Release : 26 October 2016
GET THIS BOOKSystems Biology in Animal Production and Health, Vol. 1

This two-volume work provides an overview on various state of the art experimental and statistical methods, modeling approaches and software tools that are available to generate, integrate and analyze multi-omics datasets in order to detect biomarkers, genetic markers and potential causal genes for improved animal production and health. The book will contain online resources where additional data and programs can be accessed. Some chapters also come with computer programming codes and example datasets to provide readers hands-on (computer) exercises. This

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Machine Learning and Systems Biology in Genomics and Health

Machine Learning and Systems Biology in Genomics and Health
  • Author : Shailza Singh
  • Publisher : Springer Nature
  • Release : 26 June 2022
GET THIS BOOKMachine Learning and Systems Biology in Genomics and Health

This book discusses the application of machine learning in genomics. Machine Learning offers ample opportunities for Big Data to be assimilated and comprehended effectively using different frameworks. Stratification, diagnosis, classification and survival predictions encompass the different health care regimes representing unique challenges for data pre-processing, model training, refinement of the systems with clinical implications. The book discusses different models for in-depth analysis of different conditions. Machine Learning techniques have revolutionized genomic analysis. Different chapters of the book describe the role

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Success in Academic Surgery: Basic Science

Success in Academic Surgery: Basic Science
  • Author : Gregory Kennedy,Ankush Gosain,Melina Kibbe,Scott A. LeMaire
  • Publisher : Springer
  • Release : 29 April 2019
GET THIS BOOKSuccess in Academic Surgery: Basic Science

This updated volume provides the foundation for starting a basic science research career as an academic surgeon. Taking a practical approach, the book covers the suggested timeline for the initial academic appointment, including how to setup and fund the laboratory and identifying appropriate scientific mentors and lab personnel. It also describes the application of basic and advanced research techniques, including animal models, flow cytometry, gene editing, tissue engineering, and microbiome analysis. Success in Academic Surgery: Basic Science aims to give

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Handbook of the Biology of Aging

Handbook of the Biology of Aging
  • Author : Matt Kaeberlein,George Martin
  • Publisher : Academic Press
  • Release : 20 August 2015
GET THIS BOOKHandbook of the Biology of Aging

Handbook of the Biology of Aging, Eighth Edition, provides readers with an update on the rapid progress in the research of aging. It is a comprehensive synthesis and review of the latest and most important advances and themes in modern biogerontology, and focuses on the trend of ‘big data’ approaches in the biological sciences, presenting new strategies to analyze, interpret, and understand the enormous amounts of information being generated through DNA sequencing, transcriptomic, proteomic, and the metabolomics methodologies applied to

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