McLachlan, Geoffrey J. / Do, Kim-Anh / Ambroise, Christophe Analyzing Microarray Gene Expression Data Wiley Series in Probability and Statistics
1. Edition - August 2004 115.- Euro 2004. 352 Pages, Hardcover - Handbook/Reference Book - ISBN-10: 0-471-22616-5 ISBN-13: 978-0-471-22616-1 - John Wiley & Sons
Short description The analysis of microarray gene expression data is increasingly important to both statistics and science. The methodology to examine the "cleaned data" is an essential aspect of the field. This comprehensive review discusses the methodology needed to analyze data such as microarray gene expression data, with coverage of the cleaning of such data as well.
From the contents Preface.
1. Microarrays in Gene Expression Studies.
2. Cleaning and Normalization.
3. Some Cluster Analysis Methods.
4. Clustering of Tissue Samples.
5. Screening and Clustering of Genes.
6. Discriminant Analysis.
7. Supervised Classification of Tissue Samples.
8. Linking Microarray Data with Survival Analysis.
