Data Mining For Biomarker Discovery

Author : Panos M. Pardalos
Publisher : Springer Science & Business Media
ISBN 13 : 1461421071
Total Pages : 256 pages
Book Rating : 4.78/5 ( download)

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Download or read book Data Mining for Biomarker Discovery written by Panos M. Pardalos and published by Springer Science & Business Media. This book was released on 2012-02-11 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomarker discovery is an important area of biomedical research that may lead to significant breakthroughs in disease analysis and targeted therapy. Biomarkers are biological entities whose alterations are measurable and are characteristic of a particular biological condition. Discovering, managing, and interpreting knowledge of new biomarkers are challenging and attractive problems in the emerging field of biomedical informatics. This volume is a collection of state-of-the-art research into the application of data mining to the discovery and analysis of new biomarkers. Presenting new results, models and algorithms, the included contributions focus on biomarker data integration, information retrieval methods, and statistical machine learning techniques. This volume is intended for students, and researchers in bioinformatics, proteomics, and genomics, as well engineers and applied scientists interested in the interdisciplinary application of data mining techniques.

Author :
Publisher :
ISBN 13 : 9781461421085
Total Pages : 262 pages
Book Rating : 4.8X/5 ( download)

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Download or read book Data Mining for Biomarker Discovery written by and published by . This book was released on 2012-02-12 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Francisco Azuaje
Publisher : John Wiley & Sons
ISBN 13 : 111996430X
Total Pages : 206 pages
Book Rating : 4.08/5 ( download)

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Download or read book Bioinformatics and Biomarker Discovery written by Francisco Azuaje and published by John Wiley & Sons. This book was released on 2011-08-24 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to introduce biologists, clinicians and computational researchers to fundamental data analysis principles, techniques and tools for supporting the discovery of biomarkers and the implementation of diagnostic/prognostic systems. The focus of the book is on how fundamental statistical and data mining approaches can support biomarker discovery and evaluation, emphasising applications based on different types of "omic" data. The book also discusses design factors, requirements and techniques for disease screening, diagnostic and prognostic applications. Readers are provided with the knowledge needed to assess the requirements, computational approaches and outputs in disease biomarker research. Commentaries from guest experts are also included, containing detailed discussions of methodologies and applications based on specific types of "omic" data, as well as their integration. Covers the main range of data sources currently used for biomarker discovery Covers the main range of data sources currently used for biomarker discovery Puts emphasis on concepts, design principles and methodologies that can be extended or tailored to more specific applications Offers principles and methods for assessing the bioinformatic/biostatistic limitations, strengths and challenges in biomarker discovery studies Discusses systems biology approaches and applications Includes expert chapter commentaries to further discuss relevance of techniques, summarize biological/clinical implications and provide alternative interpretations

Author : Darius M. Dziuda
Publisher : John Wiley & Sons
ISBN 13 : 0470593407
Total Pages : 348 pages
Book Rating : 4.00/5 ( download)

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Download or read book Data Mining for Genomics and Proteomics written by Darius M. Dziuda and published by John Wiley & Sons. This book was released on 2010-07-16 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining for Genomics and Proteomics uses pragmatic examples and a complete case study to demonstrate step-by-step how biomedical studies can be used to maximize the chance of extracting new and useful biomedical knowledge from data. It is an excellent resource for students and professionals involved with gene or protein expression data in a variety of settings.

Author : He Zengyou
Publisher : Woodhead Publishing
ISBN 13 : 008100107X
Total Pages : 100 pages
Book Rating : 4.73/5 ( download)

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Download or read book Data Mining for Bioinformatics Applications written by He Zengyou and published by Woodhead Publishing. This book was released on 2015-06-09 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including problem definition, data collection, data preprocessing, modeling, and validation. The text uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems, containing 45 bioinformatics problems that have been investigated in recent research. For each example, the entire data mining process is described, ranging from data preprocessing to modeling and result validation. Provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems Uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems Contains 45 bioinformatics problems that have been investigated in recent research

Author : Haleem J. Issaq
Publisher : Academic Press
ISBN 13 : 0123947952
Total Pages : 489 pages
Book Rating : 4.56/5 ( download)

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Download or read book Proteomic and Metabolomic Approaches to Biomarker Discovery written by Haleem J. Issaq and published by Academic Press. This book was released on 2013-05-20 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proteomic and Metabolomic Approaches to Biomarker Discovery demonstrates how to leverage biomarkers to improve accuracy and reduce errors in research. Disease biomarker discovery is one of the most vibrant and important areas of research today, as the identification of reliable biomarkers has an enormous impact on disease diagnosis, selection of treatment regimens, and therapeutic monitoring. Various techniques are used in the biomarker discovery process, including techniques used in proteomics, the study of the proteins that make up an organism, and metabolomics, the study of chemical fingerprints created from cellular processes. Proteomic and Metabolomic Approaches to Biomarker Discovery is the only publication that covers techniques from both proteomics and metabolomics and includes all steps involved in biomarker discovery, from study design to study execution. The book describes methods, and presents a standard operating procedure for sample selection, preparation, and storage, as well as data analysis and modeling. This new standard effectively eliminates the differing methodologies used in studies and creates a unified approach. Readers will learn the advantages and disadvantages of the various techniques discussed, as well as potential difficulties inherent to all steps in the biomarker discovery process. A vital resource for biochemists, biologists, analytical chemists, bioanalytical chemists, clinical and medical technicians, researchers in pharmaceuticals, and graduate students, Proteomic and Metabolomic Approaches to Biomarker Discovery provides the information needed to reduce clinical error in the execution of research. Describes the use of biomarkers to reduce clinical errors in research Includes techniques from a range of biomarker discoveries Covers all steps involved in biomarker discovery, from study design to study execution

Author : Michael R. Bleavins
Publisher : John Wiley & Sons
ISBN 13 : 1118210425
Total Pages : 559 pages
Book Rating : 4.20/5 ( download)

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Download or read book Biomarkers in Drug Development written by Michael R. Bleavins and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover how biomarkers can boost the success rate of drug development efforts As pharmaceutical companies struggle to improve the success rate and cost-effectiveness of the drug development process, biomarkers have emerged as a valuable tool. This book synthesizes and reviews the latest efforts to identify, develop, and integrate biomarkers as a key strategy in translational medicine and the drug development process. Filled with case studies, the book demonstrates how biomarkers can improve drug development timelines, lower costs, facilitate better compound selection, reduce late-stage attrition, and open the door to personalized medicine. Biomarkers in Drug Development is divided into eight parts: Part One offers an overview of biomarkers and their role in drug development. Part Two highlights important technologies to help researchers identify new biomarkers. Part Three examines the characterization and validation process for both drugs and diagnostics, and provides practical advice on appropriate statistical methods to ensure that biomarkers fulfill their intended purpose. Parts Four through Six examine the application of biomarkers in discovery, preclinical safety assessment, clinical trials, and translational medicine. Part Seven focuses on lessons learned and the practical aspects of implementing biomarkers in drug development programs. Part Eight explores future trends and issues, including data integration, personalized medicine, and ethical concerns. Each of the thirty-eight chapters was contributed by one or more leading experts, including scientists from biotechnology and pharmaceutical firms, academia, and the U.S. Food and Drug Administration. Their contributions offer pharmaceutical and clinical researchers the most up-to-date understanding of the strategies used for and applications of biomarkers in drug development.

Author : Darius M. Dziuda
Publisher : Cambridge University Press
ISBN 13 : 100900770X
Total Pages : 295 pages
Book Rating : 4.02/5 ( download)

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Download or read book Multivariate Biomarker Discovery written by Darius M. Dziuda and published by Cambridge University Press. This book was released on 2024-04-30 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate biomarker discovery is increasingly important in the realm of biomedical research, and is poised to become a crucial facet of personalized medicine. This will prompt the demand for a myriad of novel biomarkers representing distinct 'omic' biosignatures, allowing selection and tailoring treatments to the various individual characteristics of a particular patient. This concise and self-contained book covers all aspects of predictive modeling for biomarker discovery based on high-dimensional data, as well as modern data science methods for identification of parsimonious and robust multivariate biomarkers for medical diagnosis, prognosis, and personalized medicine. It provides a detailed description of state-of-the-art methods for parallel multivariate feature selection and supervised learning algorithms for regression and classification, as well as methods for proper validation of multivariate biomarkers and predictive models implementing them. This is an invaluable resource for scientists and students interested in bioinformatics, data science, and related areas.

Author : Jake Y. Chen
Publisher : CRC Press
ISBN 13 : 1420086855
Total Pages : 736 pages
Book Rating : 4.50/5 ( download)

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Download or read book Biological Data Mining written by Jake Y. Chen and published by CRC Press. This book was released on 2009-09-01 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research. Each chapter is written by a distinguished team of interdisciplin

Author : George G. Harrigan
Publisher : Springer Science & Business Media
ISBN 13 : 9781402073700
Total Pages : 354 pages
Book Rating : 4.04/5 ( download)

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Download or read book Metabolic Profiling: Its Role in Biomarker Discovery and Gene Function Analysis written by George G. Harrigan and published by Springer Science & Business Media. This book was released on 2003-01-31 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is evident that biochemical control is not strictly hierarchical and that intermediary metabolism can contribute to control of regulatory pathways. Metabolic studies are therefore increasingly important in gene function analyses, and an increased interest in metabolites as biomarkers for disease progression or response to therapeutic intervention is also evident in the pharmaceutical industry. This book offers guidelines to currently available technology and bioinformatics and database strategies now being developed. Evidence is presented that metabolic profiling is a valuable addition to genomics and proteomics strategies devoted to drug discovery and development, and that metabolic profiling offers numerous advantages.