Bioinformatics and Biomarker Discovery
eBook - ePub

Bioinformatics and Biomarker Discovery

"Omic" Data Analysis for Personalized Medicine

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Bioinformatics and Biomarker Discovery

"Omic" Data Analysis for Personalized Medicine

About this book

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

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Information

Publisher
Wiley
Year
2011
Print ISBN
9780470744604
eBook ISBN
9781119964308
Edition
1
Topic
Biological Sciences
Index
Biological Sciences

Table of contents

  1. Cover
  2. Title page
  3. Copyright
  4. Dedication
  5. Author and guest contributor biographies
  6. Acknowledgements
  7. Preface
  8. 1: Biomarkers and bioinformatics
  9. 2: Review of fundamental statistical concepts
  10. 3: Biomarker-based prediction models: design and interpretation principles
  11. 4: An introduction to the discovery and analysis of genotype-phenotype associations
  12. Guest commentary on chapter 4: Integrative approaches to genotype-phenotype association discovery
  13. 5: Biomarkers and gene expression data analysis
  14. Guest commentary on chapter 5: Advances in biomarker discovery with gene expression data
  15. 6: Proteomics and metabolomics for biomarker discovery: an introduction to spectral data analysis
  16. Guest commentary on chapter 6: Data integration in proteomics and metabolomics for biomarker discovery
  17. 7: Disease biomarkers and biological interaction networks
  18. Guest commentary on chapter 7: Commentary on ‘disease biomarkers and biological interaction networks’
  19. 8: Integrative data analysis for biomarker discovery
  20. Guest commentary on chapter 8: Data integration: The next big hope?
  21. 9: Information resources and software tools for biomarker discovery
  22. 10: Challenges and research directions in bioinformatics and biomarker discovery
  23. Guest commentary (1) on chapter 10: Towards building knowledge-based assistants for intelligent data analysis in biomarker discovery
  24. Guest commentary (2) on chapter 10: Accompanying commentary on ‘challenges and opportunities of bioinformatics in disease biomarker discovery’
  25. References
  26. Index

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Yes, you can access Bioinformatics and Biomarker Discovery by Francisco Azuaje in PDF and/or ePUB format. We have over 1.5 million books available in our catalogue for you to explore.