Screen LibraryBayesian analysis of gene expression data
The field of high-throughput genetic experimentation is evolving rapidly, with the advent of new technologies and new venues for data mining. Bayesian methods play a role central to the future of data and knowledge integration in the field of Bioinformatics. This book is devoted exclusively to Bayes...
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| Group Author: | ; |
| Published: |
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| Literature type: | eBook |
| Language: | English |
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| Online Access: |
http://onlinelibrary.wiley.com/book/10.1002/9780470742785 |
| Summary: |
The field of high-throughput genetic experimentation is evolving rapidly, with the advent of new technologies and new venues for data mining. Bayesian methods play a role central to the future of data and knowledge integration in the field of Bioinformatics. This book is devoted exclusively to Bayesian methods of analysis for applications to high-throughput gene expression data, exploring the relevant methods that are changing Bioinformatics. Case studies, illustrating Bayesian analyses of public gene expression data, provide the backdrop for students to develop analytical skills, while the mo. |
| Carrier Form: | 1 online resource (xii, 240 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9780470742815 (electronic bk.) 047074281X (electronic bk.) 9780470742785 047074278X 9780470517666 (Cloth) 0470517662 (Cloth) |
| Index Number: | QH450 |
| CLC: | Q786 |
| Contents: | Bioinformatics and gene expression experiments -- Gene expression data : basic biology and experiments -- Bayesian linear models for gene expression -- Bayesian multiple testing and false discovery rate analysis -- Bayesian classification for microarray data -- Bayesian hypothesis inference for gene classes -- Unsupervised classification and Bayesian clustering -- Bayesian graphical models -- Advanced topics. |