Bioconductor Case Studies, Paperback / softback Book

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:
  • Category: Biology, life sciences
  • ISBN: 9780387772394

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