Data Mining For Biomarker Discovery
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Data Mining For Biomarker Discovery
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Author : Panos M. Pardalos
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-02-11
Data Mining For Biomarker Discovery written by Panos M. Pardalos and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-11 with Business & Economics categories.
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.
Data Mining For Biomarker Discovery
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Author :
language : en
Publisher:
Release Date : 2012-02-12
Data Mining For Biomarker Discovery written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-12 with categories.
Bioinformatics And Biomarker Discovery
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Author : Francisco Azuaje
language : en
Publisher: John Wiley & Sons
Release Date : 2011-08-24
Bioinformatics And Biomarker Discovery written by Francisco Azuaje and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-24 with Science categories.
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
Biological Data Mining
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Author : Jake Y. Chen
language : en
Publisher: CRC Press
Release Date : 2009-09-01
Biological Data Mining written by Jake Y. Chen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-01 with Computers categories.
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
Biomarkers In Drug Development
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Author : Michael R. Bleavins
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-20
Biomarkers In Drug Development written by Michael R. Bleavins and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-20 with Medical categories.
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.
Principled Computational Data Mining Methods For Biomarker Discovery Using Microarray Technologies
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Author : Mou'ath Adeib Hourani
language : en
Publisher:
Release Date : 2007
Principled Computational Data Mining Methods For Biomarker Discovery Using Microarray Technologies written by Mou'ath Adeib Hourani and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Algorithms categories.
Data Mining In Bioinformatics
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Author : Jason T. L. Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2005
Data Mining In Bioinformatics written by Jason T. L. Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.
Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.
Multivariate Biomarker Discovery
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Author : Darius M. Dziuda
language : en
Publisher:
Release Date : 2024-04-02
Multivariate Biomarker Discovery written by Darius M. Dziuda and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-02 with Science categories.
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.
The Handbook Of Biomarkers
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Author : Kewal K. Jain
language : en
Publisher: Humana Press
Release Date : 2017-09-16
The Handbook Of Biomarkers written by Kewal K. Jain and has been published by Humana Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-16 with Science categories.
Involved in nearly every therapeutic area, particularly cancer, biomarkers have experienced tremendous advances since the first edition of this book, both in the discovery of biomarkers and in their applications. To aid in this imperative research, Prof. Kewal K. Jain’s Handbook of Biomarkers, Second Edition features a full revision and additional chapters to thoroughly describe many different types of biomarkers and their discovery using various "-omics" technologies, along with the background information needed for the evaluation of biomarkers as well as the essential procedures for their validation and use in clinical trials. With biomarkers described first according to technologies and then according to various diseases, this detailed book features the key correlations between diseases and classifications of biomarkers, which provides the reader with a guide to sort out current and future biomarkers. Comprehensive and cutting-edge, The Handbook of Biomarkers, Second Edition serves as a vital guide to furthering our understanding of biomarkers, which, by facilitating the combination of therapeutics with diagnostics, promise to play an important role in the development of personalized medicine, one of the most important trends in healthcare today.
Exploring Noninvasive Disease Biomarkers With Urinary Omics Analysis
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Author : Arup Giri
language : en
Publisher: Academic Press
Release Date : 2025-05-30
Exploring Noninvasive Disease Biomarkers With Urinary Omics Analysis written by Arup Giri and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-30 with Science categories.
Exploring Noninvasive Disease Biomarkers with Urinary Omics Analysis offers a transformative journey into the world of non-invasive diagnostics. This comprehensive volume delves into the molecular foundations of urinary biomarkers, illuminating the intricate signatures that indicate various pathological conditions and elucidating the mechanisms behind their release into urine. Readers will gain invaluable insights into cutting-edge analytical technologies, methodologies, and data integration techniques essential for biomarker discovery. From genomic approaches to transcriptomics, proteomics, and metabolomics, each chapter provides a thorough examination of the latest advancements, accompanied by practical guidance and case studies showcasing their clinical applications across diverse health conditions.In addition to the foundational knowledge, the book highlights the clinical applications of urinary omics in diagnosing renal disorders, metabolic syndromes, and infectious diseases. It equips professionals and students with the tools needed to navigate the complexities of urinary omics, revolutionize personalized medicine, and advance transformative healthcare solutions. The practical guidance and case studies included in the book make it an invaluable resource for those looking to implement these advanced diagnostic techniques in clinical settings. - Provides a comprehensive exploration of urinary omics, including an in-depth analysis of genomics, proteomics, and metabolomics - Highlights advances in analytical technologies for analyzing urinary biomarkers, offering a comprehensive overview - Elucidates clinical application across health conditions, highlighting a holistic examination of urine's potential as a diagnostic reservoir