Bioconductor case studies
Our rough guess is there are 70,750 words in this book.
At a pace averaging 250 words per minute, this book will take 4 hours and 43 minutes to read. With a half hour per day, this will take 10 days to read.
How long will it take you?
This book will take an estimated to read at a reading speed averaging words per minute. With 30 minutes per day, this will take to read.
Enter your reading speedYou can take one of our WPM reading speed tests to find your reading speed.
Create a free account to track your reading progress, build your reading list, and set reading goals.
Author
Contributions
- Hahne, Florian. - Contributor
Publication
2008 - Springer, New York, NY, New York (State)
Language
English
Word Count
70,750 words, Guess
Page Count
283 pages
Identifiers
- Internet Archivebioconductorcase00hahn
- ISBN-100387772391
- ISBN-139780387772394
- LibraryThing8400573
- Goodreads2869425
and 4 more
- Library of Congress Control Number2008926129
- OCLC Control Number213855651
- Better World Books9780387772394
- Open LibraryOL23152707M
Classifications
- DDC572.80285
- LCCQH324.2 .B5417 2008
- LCCQH301-705QA276-280QH
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. The authors of this book have longtime experience in teaching introductory and advanced courses to the application of Bioconductor software. Florian Hahne is a Postdoc at the Fred Hutchinson Cancer Research Center in Seattle, developing novel methodologies for the analysis of high-throughput cell-biological data. Wolfgang Huber is a research group leader in the European Molecular Biology Laboratory at the European Bioinformatics Institute in Cambridge. He has wide-ranging experience in the development of methods for the analysis of functional genomics experiments. Robert Gentleman is Head of the Program in Computational Biology at the Fred Hutchinson Cancer Research Center in Seattle, and he is one of the two authors of the original R system. Seth Falcon is a member of the R core team and former project manager and developer for the Bioconductor project.
Subjects
Topics
Series Statement
- Use R!
Other Editions
- Bioconductor case studies
Similar Books
Reader Reviews
No reviews yet for this book.
Be the first to share your thoughts!