Cancer Systems And Integrative Biology PDF Download
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Author | : Usha N. Kasid |
Publisher | : Springer Nature |
Total Pages | : 377 |
Release | : 2023-05-16 |
Genre | : Medical |
ISBN | : 1071631632 |
Download Cancer Systems and Integrative Biology Book in PDF, ePub and Kindle
This thorough volume explores recent advances that have revolutionized the field of precision oncology. The chapters, contributed by experts in the areas of cancer systems and integrative biology, provide hands-on guidance toward developing tools to monitor spatial and temporal changes in tumors, tracking tumor markers in blood, and ultimately developing precision medicine to combat cancer in real time. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that ensures successful results. Authoritative and informative, Cancer Systems and Integrative Biology serves as an invaluable resource for researchers, pharmaceutical scientists, and oncologists interested in expanding their knowledge base in the current developments in cancer research.
Author | : Raghu Sinha |
Publisher | : MDPI |
Total Pages | : 272 |
Release | : 2021-08-18 |
Genre | : Science |
ISBN | : 3036514724 |
Download Recent Developments in Cancer Systems Biology Book in PDF, ePub and Kindle
This book includes original research articles and reviews to update readers on the state of the art systems approach to not only discover novel diagnostic and prognostic biomarkers for several cancer types, but also evaluate methodologies to map out important genomic signatures. In addition, therapeutic targets and drug repurposing have been emphasized for a variety of cancer types. In particular, new and established researchers who desire to learn about cancer systems biology and why it is possibly the leading front to a personalized medicine approach will enjoy reading this book.
Author | : Louise von Stechow |
Publisher | : Humana Press |
Total Pages | : 402 |
Release | : 2018-01-18 |
Genre | : Medical |
ISBN | : 9781493974924 |
Download Cancer Systems Biology Book in PDF, ePub and Kindle
This book comprises protocols describing systems biology methodologies and computational tools, offering a variety of ways to analyze different types of high-throughput cancer data. Chapters give an overview over data types available in large-scale data repositories and state-of-the-art methods used in the field of cancer systems biology. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Cancer Systems Biology : Methods and Protocols aims to ensure successful results in the further study of this vital field. The chapters "Identifying Genetic Dependencies in Cancer by Analyzing siRNA Screens in Tumor Cell Line Panels", "Perseus: A Bioinformatics Platform for Integrative Analysis of Proteomics Data in Cancer Research" and "Phosphoproteomics-based Profiling of Kinase Activities in Cancer Cells" are available open access under a CC BY 4.0 license via link.springer.com.
Author | : Aleš Prokop |
Publisher | : Springer Science & Business Media |
Total Pages | : 569 |
Release | : 2013-08-28 |
Genre | : Medical |
ISBN | : 9400768036 |
Download Systems Biology Book in PDF, ePub and Kindle
Growth in the pharmaceutical market has slowed down – almost to a standstill. One reason is that governments and other payers are cutting costs in a faltering world economy. But a more fundamental problem is the failure of major companies to discover, develop and market new drugs. Major drugs losing patent protection or being withdrawn from the market are simply not being replaced by new therapies – the pharmaceutical market model is no longer functioning effectively and most pharmaceutical companies are failing to produce the innovation needed for success. This multi-authored new book looks at a vital strategy which can bring innovation to a market in need of new ideas and new products: Systems Biology (SB). Modeling is a significant task of systems biology. SB aims to develop and use efficient algorithms, data structures, visualization and communication tools to orchestrate the integration of large quantities of biological data with the goal of computer modeling. It involves the use of computer simulations of biological systems, such as the networks of metabolites comprise signal transduction pathways and gene regulatory networks to both analyze and visualize the complex connections of these cellular processes. SB involves a series of operational protocols used for performing research, namely a cycle composed of theoretical, analytic or computational modeling to propose specific testable hypotheses about a biological system, experimental validation, and then using the newly acquired quantitative description of cells or cell processes to refine the computational model or theory.
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 | : Ying Xu |
Publisher | : Springer |
Total Pages | : 386 |
Release | : 2014-08-30 |
Genre | : Computers |
ISBN | : 1493913816 |
Download Cancer Bioinformatics Book in PDF, ePub and Kindle
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.
Author | : Raghu Sinha |
Publisher | : |
Total Pages | : 272 |
Release | : 2021 |
Genre | : |
ISBN | : 9783036514710 |
Download Recent Developments in Cancer Systems Biology Book in PDF, ePub and Kindle
This ebook includes original research articles and reviews to update readers on the state of the art systems approach to not only discover novel diagnostic and prognostic biomarkers for several cancer types, but also evaluate methodologies to map out important genomic signatures. In addition, therapeutic targets and drug repurposing have been emphasized for a variety of cancer types. In particular, new and established researchers who desire to learn about cancer systems biology and why it is possibly the leading front to a personalized medicine approach will enjoy reading this book.
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 | : 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 | : Hsueh-Fen Juan |
Publisher | : |
Total Pages | : |
Release | : 2017 |
Genre | : HEALTH & FITNESS |
ISBN | : 9789813229150 |
Download A Practical Guide to Cancer Systems Biology Book in PDF, ePub and Kindle