Features
- Cover Type: Paperback with 284 pages
- Published by: Springer
- Edition: 1st Edition August 15, 2008
- Written in: English
- ISBN 10 Number: 0387772391
- ISBN 13 Number: 978-0387772394
-
Book Dimensions:
9.2 x 6.1 x 0.6 inches
- Weighs: 1.1 pounds
Product Description
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 Bioconductor tools in the analysis of microarray gene expression data. Topics covered include
* import and preprocessing of data from various sources
* statistical modeling of differential gene expression
* biological metadata
* application of graphs and graph rendering
* machine learning for clustering and classification problems
* gene set enrichment analysis
Each chapter of this book describes an analysis of real data using hands-on example driven approaches. Short exercises help in the learning process and invite more advanced considerations of key topics. The book is a dynamic document. All the code shown can be executed on a local computer, and readers are able to reproduce every computation, figure, and table.
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