Analyzing Microarray Gene Expression Data
Wiley Series in Probability and Statistics
1. Auflage August 2004
352 Seiten, Hardcover
Handbuch/Nachschlagewerk
Kurzbeschreibung
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.
Emphasis on clustering of data of gene tissues
* Includes new research findings and activities in molecular biology
* Highlights the important general field of bioinformatics and genomics and discusses the impact of microarray analysis on both
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.
References.
Author Index.
Subject Index.
