Systems Biology Of Cancer
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Cancer Systems Biology
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Author : Edwin Wang
language : en
Publisher: CRC Press
Release Date : 2010-05-04
Cancer Systems Biology written by Edwin Wang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-05-04 with Computers categories.
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
Systems Biology Of Cancer
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Author : Sam Thiagalingam
language : en
Publisher: Cambridge University Press
Release Date : 2015-04-09
Systems Biology Of Cancer written by Sam Thiagalingam and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-09 with Mathematics categories.
An overview of the current systems biology-based knowledge and the experimental approaches for deciphering the biological basis of cancer.
Systems Biology In Cancer Research And Drug Discovery
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Author : Asfar S Azmi
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-09-29
Systems Biology In Cancer Research And Drug Discovery written by Asfar S Azmi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-29 with Medical categories.
Systems Biology in Cancer Research and Drug Discovery provides a unique collection of chapters, by world-class researchers, describing the use of integrated systems biology and network modeling in the cancer field where traditional tools have failed to deliver expected promise. This book touches four applications/aspects of systems biology (i) in understanding aberrant signaling in cancer (ii) in identifying biomarkers and prognostic markers especially focused on angiogenesis pathways (iii) in unwinding microRNAs complexity and (iv) in anticancer drug discovery and in clinical trial design. This book reviews the state-of-the-art knowledge and touches upon cutting edge newer and improved applications especially in the area of network modeling. It is aimed at an audience ranging from students, academics, basic researcher and clinicians in cancer research. This book is expected to benefit the field of translational cancer medicine by bridging the gap between basic researchers, computational biologists and clinicians who have one ultimate goal and that is to defeat cancer.
Computational Systems Biology Of Cancer
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Author : Emmanuel Barillot
language : en
Publisher: CRC Press
Release Date : 2012-08-25
Computational Systems Biology Of Cancer written by Emmanuel Barillot and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-25 with Computers categories.
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 sequencin
Systems Biology Of Tumor Physiology
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Author : David H. Nguyen
language : en
Publisher: Springer
Release Date : 2015-12-11
Systems Biology Of Tumor Physiology written by David H. Nguyen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-11 with Medical categories.
This exciting SpringerBrief presents evidence for new ideas that will challenge several theories of how cancer biology is understood. Cancer biology has undergone several intellectual revolutions in the past 50 years. A mutation-centric view of cancer has given way to the tumor microenvironment view. Reductionistic studies of one gene at a time have given way to systems biology approaches that analyze the whole genome (omics) at the same time. However, this text combines the complex levels studying cancer at the molecular biology level, endocrinology level, and transcriptomics level. What researchers are now realizing is that there is a need to combine omics with physiology concepts in order to better understand cancer and this book will give insight to the merging of these two fields in order to define how cancer is studied in the future.
Systems Biology
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Author : Hsueh-Fen Juan
language : en
Publisher: World Scientific
Release Date : 2012
Systems Biology written by Hsueh-Fen Juan and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Medical categories.
This volume presents an overview of recent developments in systems biology and their applications in cancer-related research. The ongoing advances in our understanding of genomics and proteomics, coupled with the development of new and more robust tools, have led to an emphasis on analyzing biological systems at multiple levels. Thus, there is a need to integrate different types of data into a comprehensive "systems" view. Written by active researchers in the emerging areas, this book gives senior undergraduate students, graduate students and new researchers an idea of where the frontiers of systems biology are and an opportunity to learn high-throughput techniques in use. One of the particular emphases of the book is to elucidate the molecular mechanisms in cancer. The discovery of biomarkers and anti-cancer drugs using systems biology approach is also extensively discussed.
Computational Biology Of Cancer Lecture Notes And Mathematical Modeling
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Author : Dominik Wodarz
language : en
Publisher: World Scientific
Release Date : 2005-01-24
Computational Biology Of Cancer Lecture Notes And Mathematical Modeling written by Dominik Wodarz and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-24 with Science categories.
The book shows how mathematical and computational models can be used to study cancer biology. It introduces the concept of mathematical modeling and then applies it to a variety of topics in cancer biology. These include aspects of cancer initiation and progression, such as the somatic evolution of cells, genetic instability, and angiogenesis. The book also discusses the use of mathematical models for the analysis of therapeutic approaches such as chemotherapy, immunotherapy, and the use of oncolytic viruses.
A Practical Guide To Cancer Systems Biology
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Author : Juan Hsueh-fen
language : en
Publisher: World Scientific
Release Date : 2017-11-29
A Practical Guide To Cancer Systems Biology written by Juan Hsueh-fen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-29 with Medical categories.
Systems biology combines computational and experimental approaches to analyze complex biological systems and focuses on understanding functional activities from a systems-wide perspective. It provides an iterative process of experimental measurements, data analysis, and computational simulation to model biological behavior. This book provides explained protocols for high-throughput experiments and computational analysis procedures central to cancer systems biology research and education. Readers will learn how to generate and analyze high-throughput data, therapeutic target protein structure modeling and docking simulation for drug discovery. This is the first practical guide for students and scientists who wish to become systems biologists or utilize the approach for cancer research. Contents: Introduction to Cancer Systems Biology (Hsueh-Fen Juan and Hsuan-Cheng Huang)Transcriptome Analysis: Library Construction (Hsin-Yi Chang and Hsueh-Fen Juan)Quantitative Proteome: The Isobaric Tags for Relative and Absolute Quantitation (iTRAQ) (Yi-Hsuan Wu and Hsueh-Fen Juan)Phosphoproteome: Sample Preparation (Chia-Wei Hu and Hsueh-Fen Juan)Transcriptomic Data Analysis: RNA-Seq Analysis Using Galaxy (Chia-Lang Hsu and Chantal Hoi Yin Cheung)Proteomic Data Analysis: Functional Enrichment (Hsin-Yi Chang and Hsueh-Fen Juan)Phosphorylation Data Analysis (Chia-Lang Hsu and Wei-Hsuan Wang)Pathway and Network Analysis (Chen-Tsung Huang and Hsueh-Fen Juan)Dynamic Modeling (Yu-Chao Wang)Protein Structure Modeling (Chia-Hsien Lee and Hsueh-Fen Juan)Docking Simulation (Chia-Hsien Lee and Hsueh-Fen Juan) Readership: Graduate students and researchers entering the cancer systems biology field. Keywords: Systems Biology;Transcriptomics;Proteomics;Network Biology;Dynamic Modeling;Protein Structure Modeling;Docking Simulation;BioinformaticsReview: Key Features: Written by two active researchers in the fieldCovers both experimental and computational areas in cancer systems biologyStep-by-step instructions help beginners who are interested in creating biological data and analyzing the data by themselvesReaders will gain the skills to generate and analyze omics data and discover potential therapeutic targets and drug candidates
Systems Biology Of Tumor Dormancy
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Author : Heiko Enderling
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-11-09
Systems Biology Of Tumor Dormancy written by Heiko Enderling and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-09 with Science categories.
This volume is based on the Workshop on Systems Biology of Tumor Dormancy meeting, held July 25th to July 28th, 2011. The first annual CCSB workshop brought together biologists, clinicians, mathematicians, and computer scientists to discuss various aspects of tumor dormancy and develop novel mathematical/computational models with the keynote speakers. Specific topics included the angiogenic switch, immune system interactions, cancer stem cells and signaling.
Computational Systems Biology Approaches In Cancer Research
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Author : Inna Kuperstein
language : en
Publisher: CRC Press
Release Date : 2019-09-09
Computational Systems Biology Approaches In Cancer Research written by Inna Kuperstein and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-09 with Computers categories.
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, exposes recent innovations in computational methods, and provides acces to source code and to dedicated interactive web sites." — Yves Moreau, Department of Electrical Engineering, SysBioSys Centre for Computational Systems Biology, University of Leuven With the availability of massive amounts of data in biology, the need for advanced computational tools and techniques is becoming increasingly important and key in understanding biology in disease and healthy states. This book focuses on computational systems biology approaches, with a particular lens on tackling one of the most challenging diseases - cancer. The book provides an important reference and teaching material in the field of computational biology in general and cancer systems biology in particular. The book presents a list of modern approaches in systems biology with application to cancer research and beyond. It is structured in a didactic form such that the idea of each approach can easily be grasped from the short text and self-explanatory figures. The coverage of topics is diverse: from pathway resources, through methods for data analysis and single data analysis to drug response predictors, classifiers and image analysis using machine learning and artificial intelligence approaches. Features Up to date using a wide range of approaches Applicationexample in each chapter Online resources with useful applications’