Bioconductor case studies /
Bioconductor software has become a standard tool for the analysis and comprehension of data from high-throughput genomics experiments. Its application spans a broad field of technologies used in contemporary molecular biology. In this volume, the authors present a collection of cases to apply Biocon...
Clasificación: | Libro Electrónico |
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Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
New York, NY :
Springer,
©2008.
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Colección: | Use R!
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- The ALL data set
- R and Bioconductor introduction
- Processing affymetrix expression data
- Two color arrays
- Fold changes, log-ratios, background correction, shrinkage estimation and variance stabilization
- Easy differential expression
- Differential expression
- Annotation and metadata
- Supervised machine learning
- Unsupervised machine learning
- Using graphs for interactome data
- Graph layout
- Gene set enrichment analysis
- Hypergeometric testing used for gene set enrichment analysis
- Solutions to exercises
- References
- Index.