Computational Systems Biology Of Cancer

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Computational Systems Biology of Cancer

Author : Emmanuel Barillot
Publisher : CRC Press
ISBN 13 : 1439831440
Total Pages : 463 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Computational Systems Biology of Cancer by : Emmanuel Barillot

Download or read book Computational Systems Biology of Cancer written by Emmanuel Barillot and published by CRC Press. This book was released on 2012-08-25 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 authors’ decade-long work in the cancer computational systems biology laboratory at Institut Curie (Paris, France), Computational Systems Biology of Cancer explains how to apply computational systems biology approaches to cancer research. The authors provide proven techniques and tools for cancer bioinformatics and systems biology research. Effectively Use Algorithmic Methods and Bioinformatics Tools in Real Biological Applications Suitable for readers in both the computational and life sciences, this self-contained guide assumes very limited background in biology, mathematics, and computer science. It explores how computational systems biology can help fight cancer in three essential aspects: Categorising tumours Finding new targets Designing improved and tailored therapeutic strategies Each chapter introduces a problem, presents applicable concepts and state-of-the-art methods, describes existing tools, illustrates applications using real cases, lists publically available data and software, and includes references to further reading. Some chapters also contain exercises. Figures from the text and scripts/data for reproducing a breast cancer data analysis are available at www.cancer-systems-biology.net.

Computational Biology Of Cancer: Lecture Notes And Mathematical Modeling

Author : Dominik Wodarz
Publisher : World Scientific
ISBN 13 : 9814481874
Total Pages : 266 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Computational Biology Of Cancer: Lecture Notes And Mathematical Modeling by : Dominik Wodarz

Download or read book Computational Biology Of Cancer: Lecture Notes And Mathematical Modeling written by Dominik Wodarz and published by World Scientific. This book was released on 2005-01-24 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Cancer Systems Biology

Author : Edwin Wang
Publisher : CRC Press
ISBN 13 : 9781439811863
Total Pages : 456 pages
Book Rating : 4.8/5 (118 download)

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Book Synopsis Cancer Systems Biology by : Edwin Wang

Download or read book Cancer Systems Biology written by Edwin Wang and published by CRC Press. This book was released on 2010-05-04 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Computational Systems Biology Approaches in Cancer Research

Author : Inna Kuperstein
Publisher : CRC Press
ISBN 13 : 1000682927
Total Pages : 167 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Computational Systems Biology Approaches in Cancer Research by : Inna Kuperstein

Download or read book Computational Systems Biology Approaches in Cancer Research written by Inna Kuperstein and published by CRC Press. This book was released on 2019-09-09 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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’

Computational Systems Biology

Author : Andres Kriete
Publisher : Academic Press
ISBN 13 : 0124059384
Total Pages : 548 pages
Book Rating : 4.1/5 (24 download)

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Book Synopsis Computational Systems Biology by : Andres Kriete

Download or read book Computational Systems Biology written by Andres Kriete and published by Academic Press. This book was released on 2013-11-26 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Systems Biology of Cancer

Author : Sam Thiagalingam
Publisher : Cambridge University Press
ISBN 13 : 0521493390
Total Pages : 597 pages
Book Rating : 4.5/5 (214 download)

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Book Synopsis Systems Biology of Cancer by : Sam Thiagalingam

Download or read book Systems Biology of Cancer written by Sam Thiagalingam and published by Cambridge University Press. This book was released on 2015-04-09 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of the current systems biology-based knowledge and the experimental approaches for deciphering the biological basis of cancer.

Computational Systems Biology of Cancer

Author : Emmanuel Barillot
Publisher : CRC Press
ISBN 13 : 9780429093920
Total Pages : 461 pages
Book Rating : 4.0/5 (939 download)

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Book Synopsis Computational Systems Biology of Cancer by : Emmanuel Barillot

Download or read book Computational Systems Biology of Cancer written by Emmanuel Barillot and published by CRC Press. This book was released on 2012 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Systems Biology

Author : Paola Lecca
Publisher : Woodhead Publishing
ISBN 13 : 0081001150
Total Pages : 180 pages
Book Rating : 4.0/5 (81 download)

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Book Synopsis Computational Systems Biology by : Paola Lecca

Download or read book Computational Systems Biology written by Paola Lecca and published by Woodhead Publishing. This book was released on 2016-07-29 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 modeling Explores the connection between math and systems biology, providing a framework to learn to analyze, infer, simulate, and modulate the behavior of complex biological systems Includes chapters in modular format for learning the basics quickly and in the context of questions posed by systems biology Offers a direct style and flexible formalism all through the exposition of mathematical concepts and biological applications

Learning and Inference in Computational Systems Biology

Author : Neil D. Lawrence
Publisher :
ISBN 13 :
Total Pages : 384 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Learning and Inference in Computational Systems Biology by : Neil D. Lawrence

Download or read book Learning and Inference in Computational Systems Biology written by Neil D. Lawrence and published by . This book was released on 2010 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 biology, statistics, modeling, and machine learning on new methodologies for learning and inference in biological networks.The chapters offer practical approaches to biological inference problems ranging from genome-wide inference of genetic regulation to pathway-specific studies. Both deterministic models (based on ordinary differential equations) and stochastic models (which anticipate the increasing availability of data from small populations of cells) are considered. Several chapters emphasize Bayesian inference, so the editors have included an introduction to the philosophy of the Bayesian approach and an overview of current work on Bayesian inference. Taken together, the methods discussed by the experts in Learning and Inference in Computational Systems Biology provide a foundation upon which the next decade of research in systems biology can be built. Florence d'Alch e-Buc, John Angus, Matthew J. Beal, Nicholas Brunel, Ben Calderhead, Pei Gao, Mark Girolami, Andrew Golightly, Dirk Husmeier, Johannes Jaeger, Neil D. Lawrence, Juan Li, Kuang Lin, Pedro Mendes, Nicholas A. M. Monk, Eric Mjolsness, Manfred Opper, Claudia Rangel, Magnus Rattray, Andreas Ruttor, Guido Sanguinetti, Michalis Titsias, Vladislav Vyshemirsky, David L. Wild, Darren Wilkinson, Guy Yosiphon

Cancer Bioinformatics

Author : Ying Xu
Publisher : Springer
ISBN 13 : 1493913816
Total Pages : 368 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Cancer Bioinformatics by : Ying Xu

Download or read book Cancer Bioinformatics written by Ying Xu and published by Springer. This book was released on 2014-08-30 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. It discusses how key cancer pathways can be analyzed and discovered to derive new insights into the disease and identifies diagnostic and prognostic markers for cancer. Chapters explain the basic cancer biology and how cancer develops, including the many potential survival routes. The examination of gene-expression patterns uncovers commonalities across multiple cancers and specific characteristics of individual cancer types. The authors also treat cancer as an evolving complex system, explore future case studies, and summarize the essential online data sources. Cancer Bioinformatics is designed for practitioners and researchers working in cancer research and bioinformatics. It is also suitable as a secondary textbook for advanced-level students studying computer science, biostatistics or biomedicine.

Systemic Approaches in Bioinformatics and Computational Systems Biology

Author : Paola Lecca
Publisher :
ISBN 13 : 9781613504352
Total Pages : 0 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Systemic Approaches in Bioinformatics and Computational Systems Biology by : Paola Lecca

Download or read book Systemic Approaches in Bioinformatics and Computational Systems Biology written by Paola Lecca and published by . This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book presents new techniques that have resulted from the application of computer science methods to the organization and interpretation of biological data, covering three subject areas: bioinformatics, computational biology, and computational systems biology"--

Application of Bioinformatics in Cancers

Author : Chad Brenner
Publisher : MDPI
ISBN 13 : 3039217887
Total Pages : 418 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Application of Bioinformatics in Cancers by : Chad Brenner

Download or read book Application of Bioinformatics in Cancers written by Chad Brenner and published by MDPI. This book was released on 2019-11-20 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible. Accordingly, the series presented here bring forward a wide range of artificial intelligence approaches and statistical methods that can be applied to imaging and genomics data sets to identify previously unrecognized features that are critical for cancer. Our hope is that these articles will serve as a foundation for future research as the field of cancer biology transitions to integrating electronic health record, imaging, genomics and other complex datasets in order to develop new strategies that improve the overall health of individual patients.

Integer Linear Programming in Computational and Systems Biology

Author : Dan Gusfield
Publisher : Cambridge University Press
ISBN 13 : 1108421768
Total Pages : 431 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Integer Linear Programming in Computational and Systems Biology by : Dan Gusfield

Download or read book Integer Linear Programming in Computational and Systems Biology written by Dan Gusfield and published by Cambridge University Press. This book was released on 2019-06-13 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This hands-on tutorial text for non-experts demonstrates biological applications of a versatile modeling and optimization technique.

Unravelling Cancer Signaling Pathways: A Multidisciplinary Approach

Author : Kakoli Bose
Publisher : Springer Nature
ISBN 13 : 9813298162
Total Pages : 587 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Unravelling Cancer Signaling Pathways: A Multidisciplinary Approach by : Kakoli Bose

Download or read book Unravelling Cancer Signaling Pathways: A Multidisciplinary Approach written by Kakoli Bose and published by Springer Nature. This book was released on 2019-11-25 with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unravelling the intricate cell signalling networks and their significance in cancer poses major intellectual challenge. Keeping this in mind, the book aims at understanding the mechanism of action of different proteins and their complexes in the cancer signalling pathways. Hence, the proposed book that comprises 20 chapters provides a comprehensive introduction on cell signalling, its alterations in cancer, molecules that have been popular targets as well as the ones that are emerging as targets. In addition, it discusses different forms of therapy that are coming up for its treatment. Other than that, a major portion of the book is focused on studying different disciplines at the interface of biology and other areas of science that are being used to understand cancer biology in depth.

A Practical Guide To Cancer Systems Biology

Author : Juan Hsueh-fen
Publisher : World Scientific
ISBN 13 : 9813229160
Total Pages : 152 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis A Practical Guide To Cancer Systems Biology by : Juan Hsueh-fen

Download or read book A Practical Guide To Cancer Systems Biology written by Juan Hsueh-fen and published by World Scientific. This book was released on 2017-11-29 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

MicroRNA Cancer Regulation

Author : Ulf Schmitz
Publisher : Springer Science & Business Media
ISBN 13 : 9400755902
Total Pages : 352 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis MicroRNA Cancer Regulation by : Ulf Schmitz

Download or read book MicroRNA Cancer Regulation written by Ulf Schmitz and published by Springer Science & Business Media. This book was released on 2013-02-03 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited reflects the current state of knowledge about the role of microRNAs in the formation and progression of solid tumours. The main focus lies on computational methods and applications, together with cutting edge experimental techniques that are used to approach all aspects of microRNA regulation in cancer. We are sure that the emergence of high-throughput quantitative techniques will make this integrative approach absolutely necessary in the near future. This book will be a resource for researchers starting out with cancer microRNA research, but is also intended for the experienced researcher who wants to incorporate concepts and tools from systems biology and bioinformatics into his work. Bioinformaticians and modellers are provided with a general perspective on microRNA biology in cancer, and the state-of-the-art in computational microRNA biology.

Systems Biology of Tumor Dormancy

Author : Heiko Enderling
Publisher : Springer Science & Business Media
ISBN 13 : 1461414458
Total Pages : 298 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Systems Biology of Tumor Dormancy by : Heiko Enderling

Download or read book Systems Biology of Tumor Dormancy written by Heiko Enderling and published by Springer Science & Business Media. This book was released on 2012-11-09 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.