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Bioinformatics and Biomarker Dis: Azuaje, Francisco 9780470744604 NEW Book

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Bioinformatics-and-Biomarker-Dis-Azuaje-Francisco-9780470744604-NEW-Book
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Brand new: A new, unread, unused book in perfect condition with no missing or damaged pages. See the seller's listing for full details. See all condition definitions- opens in a new window or tab ... Read moreabout the condition
Publisher: John Wiley and Sons Ltd

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Bioinformatics and Biomarker Discovery 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.

Key Features
Author(s)Francisco Azuaje
PublisherJohn Wiley and Sons Ltd
Date of Publication12/02/2010
LanguageEnglish
FormatHardback
ISBN-10047074460X
ISBN-139780470744604
SubjectMedicine: General

Publication Data
Place of PublicationChicester
Country of PublicationUnited Kingdom
ImprintWiley-Blackwell (an imprint of John Wiley & Sons Ltd)
Content NoteIllustrations

Dimensions
Weight580 g
Width174 mm
Height252 mm
Spine19 mm

Description
Table Of ContentsAuthor and guest contributor biographies Acknowledgements Preface 1 Biomarkers and bioinformatics 1.1 Bioinformatics, translational research and personalized medicine 1.2 Biomarkers: fundamental definitions and research principles 1.3 Clinical resources for biomarker studies 1.4 Molecular biology data sources for biomarker research 1.5 Basic computational approaches to biomarker discovery: key applications and challenges 1.6 Examples of biomarkers and applications 1.7 What is next? 2 Review of fundamental statistical concepts 2.1 Basic concepts and problems 2.2 Hypothesis testing and group comparison 2.3 Assessing statistical significance in multiple-hypotheses testing 2.4 Correlation 2.5 Regression and classification: basic concepts 2.6 Survival analysis methods 2.7 Assessing predictive quality 2.8 Data sample size estimation 2.9 Common pitfalls and misinterpretations 3 Biomarker-based prediction models: design and interpretation principles 3.1 Biomarker discovery and prediction model development 3.2 Evaluation of biomarker-based prediction models 3.3 Overview of data mining and key biomarker-based classification techniques 3.4 Feature selection for biomarker discovery 3.5 Critical design and interpretation factors 4 An introduction to the discovery and analysis of genotype-phenotype associations 4.1 Introduction: sources of genomic variation 4.2 Fundamental biological and statistical concepts 4.3 Multi-stage case-control analysis 4.4 SNPs data analysis: additional concepts, approaches and applications 4.5 CNV data analysis: additional concepts, approaches and applications 4.6 Key problems and challenges Guest commentary on chapter 4: Integrative approaches to genotype-phenotype association discovery ( Ana Dopazo ) References 5 Biomarkers and gene expression data analysis 5.1 Introduction 5.2 Fundamental analytical steps in gene expression profiling 5.3 Examples of advances and applications 5.4 Examples of the roles of advanced data mining and computational intelligence 5.5 Key limitations, common pitfalls and challenges Guest commentary on chapter 5: Advances in biomarker discovery with gene expression data ( Haiying Wang and Huiru Zheng ) Unsupervised clustering approaches Module-based approaches Final remarks References 6 Proteomics and metabolomics for biomarker discovery: an introduction to spectral data analysis 6.1 Introduction 6.2 Proteomics and biomarker discovery 6.3 Metabolomics and biomarker discovery 6.4 Experimental techniques for proteomics and metabolomics: an overview 6.5 More on the fundamentals of spectral data analysis 6.6 Targeted and global analyses in metabolomics 6.7 Feature transformation, selection and classification of spectral data 6.8 Key software and information resources for proteomics and metabolomics 6.9 Gaps and challenges in bioinformatics Guest commentary on chapter 6: Data integration in proteomics and metabolomics for biomarker discovery ( Kenneth Bryan ) Data integration and feature selection References 7 Disease biomarkers and biological interaction networks 7.1 Network-centric views of disease biomarker discovery 7.2 Basic concepts in network analysis 7.3 Fundamental approaches to representing and inferring networks 7.4 Overview of key network-driven approaches to biomarker discovery 7.5 Network-based prognostic systems: recent research highlights 7.6 Final remarks: opportunities and obstacles in network-based biomarker research Guest commentary on chapter 7: Commentary on 'disease biomarkers and biological interaction networks' (Zhongming Zhao) Integrative approaches to biomarker discovery Pathway-based analysis of GWA data Integrative analysis of networks and pathways References 8 Integrative data analysis for biomarker discovery 8.1 Introduction 8.2 Data aggregation at the model input leve
Author BiographyFrancisco Azuaje has more than fifteen years of research experience in the areas of computer science, medical informatics. His contributions have been reflected in several national and international research projects and an extensive publication record in journals, conference proceedings and books. Dr Azuaje is a Senior Member of the IEEE. He held a lectureship and readership in computer science and biomedical informatics at Trinity College Dublin, Ireland, and at the University of Ulster, UK, from January 2000 to February 2008. He is currently leading research in translational bioinformatics and systems biology approaches to prognostic biomarker development at the Laboratory of Cardiovascular Research, CRP-Sante, Luxembourg. He has been a member of the editorial boards of several journals and scientific committees of international conferences disseminating research at the intersection of the physical and computer sciences, engineering and biomedical sciences. He is an Associate Editor of the IEEE Transactions on Nanobioscience and BioData Mining. Dr Azuaje co-edited the books: Data Analysis and Visualization in Genomics and Proteomics, Artificial Intelligence Methods and Tools for Systems Biology, and Advanced Methods and Tools for ECG Data Analysis. He is currently a Section Editor of the Encyclopedia of Systems Biology.

Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.

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Author:Azuaje, Francisco
ISBN/EAN:9780470744604
Publisher:John Wiley and Sons Ltd
Publication Date:12/02/2010
Binding:Hardback
Pages:248
Synopsis:Bioinformatics and Biomarker Discovery 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 d ...
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