A Practical Approach to Microarray Data Analysis - Brossura

Brossura

ISBN 10: 1441912266 ISBN 13: 9781441912268

Casa editrice: Springer, 2009

Riassunto

This book helps scientists and researchers to gain a basic understanding of microarray analysis methodologies and tools. It is designed to be used by the practicing professional tasked with the design and analysis of microarray experiments or as a course text.

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Contenuti

Acknowledgements.
Preface.
1. Introduction to Microarray Data Analysis; W. Dubitzky, et al.
2. Data Pre-Processing Issues in Microarray Analysis; N.A. Tinker, et al.
3. Missing Value Estimation; O.G. Troyanskaya, et al.
4. Normalization; N. Morrison, D.C. Hoyle.
5. Singular Value Decomposition and Principal Component Analysis; M.E. Wall, et al.
6. Feature Selection in Microarray Analysis; E.P. Xing.
7. Introduction to Classification in Microarray Experiments; S. Dudoit, J. Fridlyand.
8. Bayesian Network Classifiers for Gene Expression Analysis; B.-T. Zhang, K.-B. Hwang.
9. Classifying Microarray Data Using Support Vector Machines; S. Mukherjee.
10. Weighted Flexible Compound Covariate Method for Classifying Microarray Data; Y. Shyr, K.M. Kim.
11. Classification of Expression Patterns Using Artificial Neural Networks; M. Ringnér, et al.
12. Gene Selection and Sample Classification Using a Genetic Algorithm and k-Nearest Neighbor Method.
13. Clustering Genomic Expression Data: Design and Evaluation Principles; F. Azuaje, N. Bolshakova.
14. Clustering or Automatic Class Discovery: Hierarchical Methods; D.C. Stanford, et al.
15. Discovering Genomic Expression Patterns with Self-Organizing Neural Networks; F. Azuaje.
16. Clustering or Automatic Class Discovery: non-hierarchical, non-SOM; K.Y. Yeung.
17. Correlation and Association Analysis; S.M. Lin, K.F. Johnson.
18. Global Functional Profiling of Gene Expression Data; S. Draghici, S.A. Krawetz.
19. Microarray Software Review; Y.F. Leung, et al.
20. Microarray Analysis as a Process; S. Jensen.
Index.

Product Description

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Su questa edizione

• Editore: Springer
• Data di pubblicazione: 2009
• ISBN 10: 1441912266
• ISBN 13: 9781441912268
• Rilegatura: Copertina flessibile
• Numero di pagine: 384
• Redattore: Berrar Daniel P., Dubitzky Werner, Granzow Martin