Data Mining For Biomarker Discovery

Author : Panos M. Pardalos,Petros Xanthopoulos,Michalis Zervakis
Publisher : Springer Science & Business Media
Page : 246 pages
File Size : 43,7 Mb
Release : 2012-02-11
Category : Business & Economics
ISBN : 9781461421078

Get Book

Data Mining for Biomarker Discovery by Panos M. Pardalos,Petros Xanthopoulos,Michalis Zervakis Pdf

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 : Anonim
Publisher : Unknown
Page : 262 pages
File Size : 43,8 Mb
Release : 2012-02-12
Category : Electronic
ISBN : 146142108X

Get Book

Data Mining for Biomarker Discovery by Anonim Pdf

Author : Darius M. Dziuda
Publisher : John Wiley & Sons
Page : 348 pages
File Size : 52,5 Mb
Release : 2010-07-16
Category : Computers
ISBN : 9780470593400

Get Book

Data Mining for Genomics and Proteomics by Darius M. Dziuda Pdf

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
Page : 100 pages
File Size : 50,5 Mb
Release : 2015-06-09
Category : Computers
ISBN : 9780081001073

Get Book

Data Mining for Bioinformatics Applications by He Zengyou Pdf

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 : Francisco Azuaje
Publisher : John Wiley & Sons
Page : 206 pages
File Size : 49,6 Mb
Release : 2011-08-24
Category : Science
ISBN : 9781119964308

Get Book

Bioinformatics and Biomarker Discovery by Francisco Azuaje Pdf

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 : Michael R. Bleavins,Claudio Carini,Mallé Jurima-Romet,Ramin Rahbari
Publisher : John Wiley & Sons
Page : 559 pages
File Size : 50,5 Mb
Release : 2011-09-20
Category : Medical
ISBN : 9781118210420

Get Book

Biomarkers in Drug Development by Michael R. Bleavins,Claudio Carini,Mallé Jurima-Romet,Ramin Rahbari Pdf

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 : Jake Y. Chen,Stefano Lonardi
Publisher : CRC Press
Page : 733 pages
File Size : 40,6 Mb
Release : 2009-09-01
Category : Computers
ISBN : 1420086855

Get Book

Biological Data Mining by Jake Y. Chen,Stefano Lonardi Pdf

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 interdisciplinary data mining researchers who cover state-of-the-art biological topics. The first section of the book discusses challenges and opportunities in analyzing and mining biological sequences and structures to gain insight into molecular functions. The second section addresses emerging computational challenges in interpreting high-throughput Omics data. The book then describes the relationships between data mining and related areas of computing, including knowledge representation, information retrieval, and data integration for structured and unstructured biological data. The last part explores emerging data mining opportunities for biomedical applications. This volume examines the concepts, problems, progress, and trends in developing and applying new data mining techniques to the rapidly growing field of genome biology. By studying the concepts and case studies presented, readers will gain significant insight and develop practical solutions for similar biological data mining projects in the future.

Author : Haleem J. Issaq,Timothy D. Veenstra
Publisher : Academic Press
Page : 504 pages
File Size : 53,8 Mb
Release : 2019-10-24
Category : Science
ISBN : 9780128197882

Get Book

Proteomic and Metabolomic Approaches to Biomarker Discovery by Haleem J. Issaq,Timothy D. Veenstra Pdf

Proteomic and Metabolomic Approaches to Biomarker Discovery, Second Edition 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. This second edition has been fully updated and revised to address recent advances in MS and NMR instrumentation, high-field NMR, proteomics and metabolomics for biomarker validation, clinical assays of biomarkers and clinical MS and NMR, identifying microRNAs and autoantibodies as biomarkers, MRM-MS assay development, top-down MS, glycosylation-based serum biomarkers, cell surface proteins in biomarker discovery, lipodomics for cancer biomarker discovery, and strategies to design studies to identify predictive biomarkers in cancer research. Addresses the full range of proteomic and metabolomic methods and technologies used for biomarker discovery and validation Covers all steps involved in biomarker discovery, from study design to study execution Serves as a vital resource for biochemists, biologists, analytical chemists, bioanalytical chemists, clinical and medical technicians, researchers in pharmaceuticals and graduate students

Author : Florent Masseglia,Pascal Poncelet,Maguelonne Teisseire
Publisher : IGI Global
Page : 386 pages
File Size : 44,5 Mb
Release : 2008-01-01
Category : Computers
ISBN : 9781599046457

Get Book

Successes and New Directions in Data Mining by Florent Masseglia,Pascal Poncelet,Maguelonne Teisseire Pdf

"This book addresses existing solutions for data mining, with particular emphasis on potential real-world applications. It captures defining research on topics such as fuzzy set theory, clustering algorithms, semi-supervised clustering, modeling and managing data mining patterns, and sequence motif mining"--Provided by publisher.

Author : Firas Kobeissy,Kevin Wang,Fadi A. Zaraket,Ali Alawieh
Publisher : Academic Press
Page : 225 pages
File Size : 41,7 Mb
Release : 2018-11-23
Category : Medical
ISBN : 9780128095614

Get Book

Leveraging Biomedical and Healthcare Data by Firas Kobeissy,Kevin Wang,Fadi A. Zaraket,Ali Alawieh Pdf

Leveraging Biomedical and Healthcare Data: Semantics, Analytics and Knowledge provides an overview of the approaches used in semantic systems biology, introduces novel areas of its application, and describes step-wise protocols for transforming heterogeneous data into useful knowledge that can influence healthcare and biomedical research. Given the astronomical increase in the number of published reports, papers, and datasets over the last few decades, the ability to curate this data has become a new field of biomedical and healthcare research. This book discusses big data text-based mining to better understand the molecular architecture of diseases and to guide health care decision. It will be a valuable resource for bioinformaticians and members of several areas of the biomedical field who are interested in understanding more about how to process and apply great amounts of data to improve their research. Includes at each section resource pages containing a list of available curated raw and processed data that can be used by researchers in the field Provides demonstrative and relevant examples that serve as a general tutorial Presents a list of algorithm names and computational tools available for basic and clinical researchers

Author : George G. Harrigan,Royston Goodacre
Publisher : Springer Science & Business Media
Page : 354 pages
File Size : 43,7 Mb
Release : 2003-01-31
Category : Medical
ISBN : 1402073704

Get Book

Metabolic Profiling: Its Role in Biomarker Discovery and Gene Function Analysis by George G. Harrigan,Royston Goodacre Pdf

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.

Author : Wang, John
Publisher : IGI Global
Page : 4092 pages
File Size : 54,8 Mb
Release : 2008-05-31
Category : Technology & Engineering
ISBN : 9781599049526

Get Book

Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications by Wang, John Pdf

In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.

Author : Darius M. Dziuda
Publisher : Cambridge University Press
Page : 295 pages
File Size : 53,6 Mb
Release : 2024-04-30
Category : Science
ISBN : 9781009007702

Get Book

Multivariate Biomarker Discovery by Darius M. Dziuda Pdf

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 : Andreas Holzinger,Igor Jurisica
Publisher : Springer
Page : 357 pages
File Size : 48,8 Mb
Release : 2014-06-17
Category : Computers
ISBN : 9783662439685

Get Book

Interactive Knowledge Discovery and Data Mining in Biomedical Informatics by Andreas Holzinger,Igor Jurisica Pdf

One of the grand challenges in our digital world are the large, complex and often weakly structured data sets, and massive amounts of unstructured information. This “big data” challenge is most evident in biomedical informatics: the trend towards precision medicine has resulted in an explosion in the amount of generated biomedical data sets. Despite the fact that human experts are very good at pattern recognition in dimensions of = 3; most of the data is high-dimensional, which makes manual analysis often impossible and neither the medical doctor nor the biomedical researcher can memorize all these facts. A synergistic combination of methodologies and approaches of two fields offer ideal conditions towards unraveling these problems: Human–Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human capabilities with machine learning./ppThis state-of-the-art survey is an output of the HCI-KDD expert network and features 19 carefully selected and reviewed papers related to seven hot and promising research areas: Area 1: Data Integration, Data Pre-processing and Data Mapping; Area 2: Data Mining Algorithms; Area 3: Graph-based Data Mining; Area 4: Entropy-Based Data Mining; Area 5: Topological Data Mining; Area 6 Data Visualization and Area 7: Privacy, Data Protection, Safety and Security.

Author : Jiajie Peng,Tao Wang,Miguel E. Renteria
Publisher : Frontiers Media SA
Page : 160 pages
File Size : 47,5 Mb
Release : 2022-06-06
Category : Science
ISBN : 9782889761746

Get Book

Data Mining and Statistical Methods for Knowledge Discovery in Diseases Based on Multimodal Omics by Jiajie Peng,Tao Wang,Miguel E. Renteria Pdf