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...
| Main Authors: | , , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
2008, 2008
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| Edition: | 1st ed. 2008 |
| Series: | Use R!
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- The ALL Dataset
- 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