Systems Biology Of Cancer
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Author | : Emmanuel Barillot |
Publisher | : CRC Press |
Total Pages | : 463 |
Release | : 2012-08-25 |
Genre | : Science |
ISBN | : 1439831440 |
Download Computational Systems Biology of Cancer Book in PDF, Epub and Kindle
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.
Author | : Edwin Wang |
Publisher | : CRC Press |
Total Pages | : 456 |
Release | : 2010-05-04 |
Genre | : Computers |
ISBN | : 9781439811863 |
Download Cancer Systems Biology Book in PDF, Epub and Kindle
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
Author | : Sam Thiagalingam |
Publisher | : Cambridge University Press |
Total Pages | : 597 |
Release | : 2015-04-09 |
Genre | : Mathematics |
ISBN | : 0521493390 |
Download Systems Biology of Cancer Book in PDF, Epub and Kindle
An overview of the current systems biology-based knowledge and the experimental approaches for deciphering the biological basis of cancer.
Author | : Dominik Wodarz |
Publisher | : World Scientific |
Total Pages | : 266 |
Release | : 2005-01-24 |
Genre | : Science |
ISBN | : 9814481874 |
Download Computational Biology Of Cancer: Lecture Notes And Mathematical Modeling Book in PDF, Epub and Kindle
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.
Author | : Inna Kuperstein |
Publisher | : CRC Press |
Total Pages | : 167 |
Release | : 2019-09-09 |
Genre | : Computers |
ISBN | : 1000682927 |
Download Computational Systems Biology Approaches in Cancer Research Book in PDF, Epub and Kindle
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’
Author | : Irina Kareva |
Publisher | : Academic Press |
Total Pages | : 120 |
Release | : 2018-02-07 |
Genre | : Medical |
ISBN | : 012813674X |
Download Understanding Cancer from a Systems Biology Point of View Book in PDF, Epub and Kindle
Understanding Cancer from a Systems Biology Point of View: From Observation to Theory and Back starts with a basic question, why do we sometimes observe accelerated metastatic growth after resection of primary tumors? Next, it helps readers understand the systemic nature of cancer and how it affects treatment approaches and decisions. The book puts together aspects of cancer that many readers have most likely never combined, using unfamiliar, novel methods. It is a valuable resource for cancer researchers, cancer biologists, mathematicians and members of the biomedical field who are interested in applying systems biology methodologies for understanding and treating cancer. Explains the systemic nature of cancer and how it affects decisions on treatment Brings a variety of methods together, showing, in detail, the logical approach to finding answers to complex questions Discusses the theoretical underpinnings of cancer as a systemic disease, providing the reader with valuable information on applicable cases
Author | : Emmanuel Barillot |
Publisher | : CRC Press |
Total Pages | : 461 |
Release | : 2012-08-25 |
Genre | : Computers |
ISBN | : 1439831459 |
Download Computational Systems Biology of Cancer Book in PDF, Epub and Kindle
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
Author | : Hsueh-fen Juan |
Publisher | : World Scientific |
Total Pages | : 153 |
Release | : 2017-11-29 |
Genre | : Medical |
ISBN | : 9813229160 |
Download A Practical Guide To Cancer Systems Biology Book in PDF, Epub and Kindle
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.
Author | : Fabricio Alves Barbosa da Silva |
Publisher | : Springer Nature |
Total Pages | : 381 |
Release | : 2020-10-03 |
Genre | : Computers |
ISBN | : 3030518620 |
Download Networks in Systems Biology Book in PDF, Epub and Kindle
This book presents a range of current research topics in biological network modeling, as well as its application in studies on human hosts, pathogens, and diseases. Systems biology is a rapidly expanding field that involves the study of biological systems through the mathematical modeling and analysis of large volumes of biological data. Gathering contributions from renowned experts in the field, some of the topics discussed in depth here include networks in systems biology, the computational modeling of multidrug-resistant bacteria, and systems biology of cancer. Given its scope, the book is intended for researchers, advanced students, and practitioners of systems biology. The chapters are research-oriented, and present some of the latest findings on their respective topics.
Author | : Asfar S Azmi |
Publisher | : Springer Science & Business Media |
Total Pages | : 425 |
Release | : 2012-09-29 |
Genre | : Medical |
ISBN | : 9400748191 |
Download Systems Biology in Cancer Research and Drug Discovery Book in PDF, Epub and Kindle
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.