Application Of Bioinformatics In Cancers

Author : Chad Brenner
Publisher : MDPI
Page : 418 pages
File Size : 44,7 Mb
Release : 2019-11-20
Category : Medical
ISBN : 9783039217885

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Application of Bioinformatics in Cancers by Chad Brenner Pdf

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.

Author : J. Chad Brenner
Publisher : Unknown
Page : 418 pages
File Size : 40,8 Mb
Release : 2019
Category : Biotechnology
ISBN : 3039217895

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Application of Bioinformatics in Cancers by J. Chad Brenner Pdf

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.

Author : Gavin J. Gordon
Publisher : Springer Science & Business Media
Page : 198 pages
File Size : 42,6 Mb
Release : 2008-10-25
Category : Medical
ISBN : 9781597455763

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Bioinformatics in Cancer and Cancer Therapy by Gavin J. Gordon Pdf

Bioinformatics can be loosely defined as the collection, classification, storage, and analysis of biochemical and biological information using computers and mathematical algorithms. Bioinformatics represents a marriage of biology, medicine, computer science, physics, and mathematics, fields of study that have historically existed as mutually exclusive disciplines. Edited by Gavin Gordon, Bioinformatics in Cancer and Cancer Therapy, the focus of this book is to provide a historical and technical perspective on the analytical techniques, methodologies, and platforms used in bioinformatics experiments, to show how a bioinformatics approach has been used to characterize various cancer-related processes, and to demonstrate how a bioinformatics approach is being used to bridge basic science and the clinical arena to positively impact patient care and management.

Author : Anonim
Publisher : BoD – Books on Demand
Page : 172 pages
File Size : 40,5 Mb
Release : 2022-09-28
Category : Medical
ISBN : 9781839691072

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Cancer Bioinformatics by Anonim Pdf

This book discusses the application of bioinformatics in cancer disease management. It covers general aspects of cancer as a disease but also as a success story in the translation of omics data in clinical settings. It provides an overview of the specific applications of bioinformatics tools in cancer epidemiology, prevention, and screening and in the identification of novel genetic and molecular biomarkers involved in cancer development. This is accomplished through the inclusion of numerous examples of the use of bioinformatics in precision oncology.

Author : Sylvia Nagl
Publisher : Unknown
Page : 320 pages
File Size : 53,9 Mb
Release : 2006-03-06
Category : Medical
ISBN : UCSC:32106018649266

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Cancer Bioinformatics by Sylvia Nagl Pdf

"The development and application of bioinformatics tools to basic and translational cancer research is, in fact, a rapidly expanding field that deserves a timely review. Therefore, a publication of this type is needed. The editors have done an excellent job in recruiting well-established scientists to author the various chapters of the book." —Dieter Naf, Jackson Laboratory, USA Cancer bioinformatics is now emerging as a new interdisciplinary field, which is facilitating an unprecedented synthesis of knowledge arising from the life and clinical sciences. This groundbreaking title provides a comprehensive and up-to-date account of the enormous range of bioinformatics for cancer therapy development from the laboratory to clinical trials. It functions as a guide to integrated data exploitation and synergistic knowledge discovery, and support the consolidation of the interdisciplinary research community involved.

Author : Alfredo Cesario,Frederick Marcus
Publisher : Springer Science & Business Media
Page : 484 pages
File Size : 40,9 Mb
Release : 2011-08-21
Category : Medical
ISBN : 9400715676

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Cancer Systems Biology, Bioinformatics and Medicine by Alfredo Cesario,Frederick Marcus Pdf

This teaching monograph on systems approaches to cancer research and clinical applications provides a unique synthesis, by world-class scientists and doctors, of laboratory, computational, and clinical methods, thereby establishing the foundations for major advances not possible with current methods. Specifically, the book: 1) Sets the stage by describing the basis of systems biology and bioinformatics approaches, and the clinical background of cancer in a systems context; 2) Summarizes the laboratory, clinical, data systems analysis and bioinformatics tools, along with infrastructure and resources required; 3) Demonstrates the application of these tools to cancer research; 4) Extends these tools and methods to clinical diagnosis, drug development and treatment applications; and 5) Finishes by exploring longer term perspectives and providing conclusions. This book reviews the state-of-the-art, and goes beyond into new applications. It is written and highly referenced as a textbook and practical guide aimed at students, academics, doctors, clinicians, industrialists and managers in cancer research and therapeutic applications. Ideally, it will set the stage for integration of available knowledge to optimize communication between basic and clinical researchers involved in the ultimate fight against cancer, whatever the field of specific interest, whatever the area of activity within translational research.

Author : Geng Chen,Lu Xie,D. P. Kreil,Fangqing Zhao
Publisher : Frontiers Media SA
Page : 284 pages
File Size : 40,6 Mb
Release : 2022-10-17
Category : Science
ISBN : 9782832502501

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The Application of Sequencing Technologies and Bioinformatics Methods in Cancer Biology by Geng Chen,Lu Xie,D. P. Kreil,Fangqing Zhao Pdf

Author : Ying Xu,Juan Cui,David Puett
Publisher : Springer
Page : 368 pages
File Size : 46,7 Mb
Release : 2014-08-30
Category : Computers
ISBN : 9781493913817

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Cancer Bioinformatics by Ying Xu,Juan Cui,David Puett Pdf

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 : Tuan Pham
Publisher : Springer Science & Business Media
Page : 309 pages
File Size : 51,9 Mb
Release : 2009-09-23
Category : Medical
ISBN : 9781441908117

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Computational Biology by Tuan Pham Pdf

This volume covers techniques in computational biology and their applications in oncology. It details advanced statistical methods, heuristic algorithms, cluster analysis, data modeling, and image and pattern analysis applied to cancer research.

Author : William C.S. Cho
Publisher : Springer Science & Business Media
Page : 269 pages
File Size : 41,6 Mb
Release : 2010-04-07
Category : Medical
ISBN : 9789048126750

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An Omics Perspective on Cancer Research by William C.S. Cho Pdf

Omics is an emerging and exciting area in the field of science and medicine. Numerous promising developments have been elucidated using omics (including genomics, transcriptomics, epigenomics, proteomics, metabolomics, interactomics, cytomics and bioinformatics) in cancer research. The development of high-throughput technologies that permit the solution of deciphering cancer from higher dimensionality will provide a knowledge base which changes the face of cancer understanding and therapeutics. This is the first book to provide such a comprehensive coverage of a rapidly evolving area written by leading experts in the field of omics. It complies and details cutting-edge cancer research that covers the broad advances in the field and its application from cancer-associated gene discovery to drug target validation. It also highlights the potential of using integration approach for cancer research. This unique and timely book provides a thorough overview of developing omics, which will appeal to anyone involved in cancer research. It will be a useful reference book for graduate students of different subjects (medicine, biology, engineering, etc) and senior scientists interested in the fascinating area of advanced technologies in cancer research. Readership: This is a precious book for all types of readers – cancer researchers, oncologists, pathologists, biologists, clinical chemists, pharmacologists, pharmaceutical specialists, biostatisticians, and bioinformaticists who want to expand their knowledge in cancer research.

Author : Xiangqian Guo,Liuyang Wang,Wan Zhu,Longxiang Xie,Jing Zhao
Publisher : Frontiers Media SA
Page : 197 pages
File Size : 49,6 Mb
Release : 2020-12-23
Category : Science
ISBN : 9782889662616

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Bioinformatics Tools (and Web Server) for Cancer Biomarker Development by Xiangqian Guo,Liuyang Wang,Wan Zhu,Longxiang Xie,Jing Zhao Pdf

This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.

Author : Harshawardhan Bal,Johnny Hujol
Publisher : Springer Science & Business Media
Page : 353 pages
File Size : 45,7 Mb
Release : 2007-01-16
Category : Science
ISBN : 9780387372372

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Java for Bioinformatics and Biomedical Applications by Harshawardhan Bal,Johnny Hujol Pdf

Medical science and practice have undergone fundamental changes in the last 5 years, as large-scale genome projects have resulted in the sequencing of a number of important microbial, plant and animal genomes. This book aims to combine industry standard software engineering and design principles with genomics, bioinformatics and cancer research. Rather than an exercise in learning a programming platform, the text focuses on useful analytical tools for the scientific community.

Author : Michael F. Ochs,John T. Casagrande,Ramana V. Davuluri
Publisher : Springer Science & Business Media
Page : 293 pages
File Size : 45,6 Mb
Release : 2010-04-06
Category : Medical
ISBN : 9781441957146

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Biomedical Informatics for Cancer Research by Michael F. Ochs,John T. Casagrande,Ramana V. Davuluri Pdf

view, showing that multiple molecular pathways must be affected for cancer to develop, but with different specific proteins in each pathway mutated or differentially expressed in a given tumor (The Cancer Genome Atlas Research Network 2008; Parsons et al. 2008). Different studies demonstrated that while widespread mutations exist in cancer, not all mutations drive cancer development (Lin et al. 2007). This suggests a need to target only a deleterious subset of aberrant proteins, since any tre- ment must aim to improve health to justify its potential side effects. Treatment for cancer must become highly individualized, focusing on the specific aberrant driver proteins in an individual. This drives a need for informatics in cancer far beyond the need in other diseases. For instance, routine treatment with statins has become widespread for minimizing heart disease, with most patients responding to standard doses (Wilt et al. 2004). In contrast, standard treatment for cancer must become tailored to the molecular phenotype of an individual tumor, with each patient receiving a different combination of therapeutics aimed at the specific aberrant proteins driving the cancer. Tracking the aberrations that drive cancers, identifying biomarkers unique to each individual for molecular-level di- nosis and treatment response, monitoring adverse events and complex dosing schedules, and providing annotated molecular data for ongoing research to improve treatments comprise a major biomedical informatics need.

Author : Inna Kuperstein,Emmanuel Barillot
Publisher : CRC Press
Page : 167 pages
File Size : 53,5 Mb
Release : 2019-09-09
Category : Computers
ISBN : 9781000682922

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Computational Systems Biology Approaches in Cancer Research by Inna Kuperstein,Emmanuel Barillot Pdf

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 : Nosheen Masood,Saima Shakil Malik
Publisher : Springer Nature
Page : 499 pages
File Size : 43,8 Mb
Release : 2020-03-20
Category : Medical
ISBN : 9789811510670

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'Essentials of Cancer Genomic, Computational Approaches and Precision Medicine by Nosheen Masood,Saima Shakil Malik Pdf

This book concisely describes the role of omics in precision medicine for cancer therapies. It outlines our current understanding of cancer genomics, shares insights into the process of oncogenesis, and discusses emerging technologies and clinical applications of cancer genomics in prognosis and precision-medicine treatment strategies. It then elaborates on recent advances concerning transcriptomics and translational genomics in cancer diagnosis, clinical applications, and personalized medicine in oncology. Importantly, it also explains the importance of high-performance analytics, predictive modeling, and system biology in cancer research. Lastly, the book discusses current and potential future applications of pharmacogenomics in clinical cancer therapy and cancer drug development.