Bioconductor Case Studies Paperback / softback
Part of the Use R! series
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: (1) import and preprocessing of data from various sources; (2) statistical modeling of differential gene expression; (3) biological metadata; (4) application of graphs and graph rendering; (5) machine learning for clustering and classification problems; (6) 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.
- Format: Paperback / softback
- Pages: 284 pages, XII, 284 p.
- Publisher: Springer-Verlag New York Inc.
- Publication Date: 15/08/2008
- Category: Biology, life sciences
- ISBN: 9780387772394
- PDF from £84.58