Editors:
- Dedicated solely to the analysis of microarray data
- Unique approach of "presenting different methods by analyzing the same data set" shows the strengths and weakness of each method
- Provides a wide range of input from all types of researchers, for academic and industrial researchers, and core bioinformatics/genomics courses in undergraduate and graduate programs
- Microarray data from the causative agent of malaria
- Includes supplementary material: sn.pub/extras
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Table of contents (11 chapters)
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Front Matter
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Back Matter
About this book
As studies using microarray technology have evolved, so have the data analysis methods used to analyze these experiments. The CAMDA (Critical Assessment of Microarray Data Analysis) conference was the first to establish a forum for a cross section of researchers to look at a common data set and apply innovative analytical techniques to microarray data. Methods of Microarray Analysis V includes selected papers from CAMDA'04, and focuses on data sets relating to a significant global health issue, malaria. Previous books focused on classification (V. I), pattern recognition (V. II), quality control issues (V. III), and associating array data with a survival endpoint, lung cancer, (V. IV). The contributions come from research fields including statistics, biology, computer science and mathematics. Part of the book is devoted to review papers, which provide a more general look at various analytical approaches. It also presents some background readings for the advanced topics discussed in the CAMDA papers.
Editors and Affiliations
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Duke University, USA
Patrick McConnell
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Northwestern University, USA
Simon M. Lin
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Icoria, Inc., USA
Patrick Hurban
Bibliographic Information
Book Title: Methods of Microarray Data Analysis V
Editors: Patrick McConnell, Simon M. Lin, Patrick Hurban
DOI: https://doi.org/10.1007/978-0-387-34569-7
Publisher: Springer New York, NY
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer-Verlag US 2007
Hardcover ISBN: 978-0-387-34568-0Published: 07 November 2006
Softcover ISBN: 978-1-4419-4179-4Published: 29 October 2010
eBook ISBN: 978-0-387-34569-7Published: 24 February 2007
Edition Number: 1
Number of Pages: XIV, 176
Number of Illustrations: 115 b/w illustrations
Topics: Biochemistry, general, Bioinformatics, Human Genetics, Proteomics, Statistics for Life Sciences, Medicine, Health Sciences, Mathematical and Computational Biology