Analysis of microarray gene expression data微阵列基因表达数据分析
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作者： Mei-Ling Ting Lee著
出 版 社：
出版时间： 2004-4-1字数：版次： 1页数： 371印刷时间： 2004/04/01开本： 16开印次： 1纸张： 胶版纸I S B N ： 9780792370871包装： 精装内容简介
After genomic sequencing, microarray technology has emerged as a widely used platform for genomic studies in the life sciences. Microarray technology provides a systematic way to survey DNA and RNA variation. With the abundance of data produced from microarray studies, however, the ultimate impact of the studies on biology will depend heavily on data mining and statistical analysis. The contribution of this book is to provide readers with an integrated presentation of various topics on analyzing microarray data.
目录
List of figures
List of tables
Preface
Part I Genome probing using microarrays
1 Introduction
2 DNA, RNA, proteins, and gene expression
3 Microarray technology
4 Inherent variability in array data
5 Background noise
6 Transformation and normalization
7 Missing values in array data
8 Saturated intensity readings
Part II Statistical models and analysis
9 Experimental design
10 ANOVA models for microarray data
11 Multiple testing in microarray studies
12 Permutation tests in microarray data
13 Bayesian methods for microarray data
14 Power and sample size considerations
Part III Unsupervised exploratory analysis
15 Cluster analysis
16 Principal components and singular value decomposition
17 Self-organizing maps
Part IV Supervised learning methods
18 Discrimination and classification
19 Artificial neural networks
20 Support vector machines
Glossary of Notation
Author Index
Topic Index