Bioinformatics And Biomarker Discovery
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Bioinformatics and Biomarker Discovery
Author: Francisco Azuaje
language: en
Publisher: John Wiley & Sons
Release Date: 2011-08-24
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
Comprehensive Biomarker Discovery and Validation for Clinical Application
Author: Péter Horvatovich
language: en
Publisher: Royal Society of Chemistry
Release Date: 2013
This book focuses on proteomics biomarker discovery and validation procedures from the clinical perspective. It provides an overview of current technology and the challenges encountered throughout the process. This covers all key stages, from biomarker discovery and validation, through to registration with the European and US regulatory authorities (EMEA and FDA). All the important elements (such as patient selection, sample handling, data processing, and statistical analysis) are described in detail and the reader is introduced to each topic with well described examples or guidelines for best practice. Case studies are also included to demonstrate clinical applications. Individual chapters explain the best performing techniques for profiling complex body fluids and biomarker discovery. This includes the application of different LC-MS profiling platforms and affinity array for screening complex body fluids. Future developments needed to improve the success rate of translating biomarker discovery into useful clinical tests are also discussed. Common pitfalls and success stories are described as are the limitations of the various technologies involved. Broad and interdisciplinary in approach, this book provides an excellent source of information for industrial and academic researchers.
Metabolic Profiling: Its Role in Biomarker Discovery and Gene Function Analysis
Author: George G. Harrigan
language: en
Publisher: Springer Science & Business Media
Release Date: 2003-01-31
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.