Bioinformatics and biomarker discovery "omic" data analysis for personalised medicine
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 statis...
| Autor principal: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Hoboken, NJ :
John Wiley & Sons
2010.
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627569306719 |
Tabla de Contenidos:
- Bioinformatics and Biomarker Discovery: ''Omic'' Data Analysis for Personalized Medicine; Contents; Author and guest contributor biographies; Acknowledgements; Preface; 1 Biomarkers and bioinformatics; 2 Review of fundamental statistical concepts; 3 Biomarker-based prediction models: design and interpretation principles; 4 An introduction to the discovery and analysis of genotype-phenotype associations; Guest commentary on chapter 4: Integrative approaches to genotype-phenotype association discovery; 5 Biomarkers and gene expression data analysis
- Guest commentary on chapter 5: Advances in biomarker discovery with gene expression data6 Proteomics and metabolomics for biomarker discovery: an introduction to spectral data analysis; Guest commentary on chapter 6: Data integration in proteomics and metabolomics for biomarker discovery; 7 Disease biomarkers and biological interaction networks; Guest commentary on chapter 7: Commentary on 'disease biomarkers and biological interaction networks'; 8 Integrative data analysis for biomarker discovery; Guest commentary on chapter 8: Data integration: The next big hope?
- 9 Information resources and software tools for biomarker discovery10 Challenges and research directions in bioinformatics and biomarker discovery; Guest commentary (1) on chapter 10: Towards building knowledge-based assistants for intelligent data analysis in biomarker discovery; Guest commentary (2) on chapter 10: Accompanying commentary on 'challenges and opportunities of bioinformatics in disease biomarker discovery'; References; Index
