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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Chichester, West Sussex, U.K. ; Hoboken, NJ :
John Wiley & Sons,
2010.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Biomarkers and bioinformatics
- Review of fundamental statistical concepts
- Biomarker-based prediction models: design and interpretation principles
- An introduction to the discovery and analysis of genotype-phenotype associations
- Integrative approaches to genotype-phenotype association discovery
- Biomarkers and gene expression data analysis
- Advances in biomarker discovery with gene expression data
- Proteomics and metabolomics for biomarker discovery: an introduction to spectral data analysis
- Data integration in proteomics and metabolomics for biomarker discovery
- Disease biomarkers and biological interaction networks
- Commentary on disease biomarkers and biological interaction networks
- Integrative data analysis for biomarker discovery
- Data integration: the next big hope?
- Information resources and software tools for biomarker discovery
- Challenges and research directions in bioinformatics and biomarker discovery
- Towards building knowledge-based assistants for intelligent data analysis in biomarker discovery
- Accompanying commentary on challenges and opportunities of bioinformatics in disease biomarker discovery.