ABSTRACT

Providing an interface between dry-bench bioinformaticians and wet-lab biologists, DNA Methylation Microarrays: Experimental Design and Statistical Analysis presents the statistical methods and tools to analyze high-throughput epigenomic data, in particular, DNA methylation microarray data. Since these microarrays share the same under

chapter 1|16 pages

Applied Statistics

chapter 3|24 pages

Experimental Design

chapter 4|22 pages

Data Normalization

chapter 5|28 pages

Significant Differential Methylation

chapter 6|20 pages

High-Density Genomic Tiling Arrays

chapter 7|20 pages

Cluster Analysis

chapter 8|14 pages

Statistical Classification

chapter 9|16 pages

Interdependency Network of DNA Methylation

chapter 10|8 pages

Time Series Experiment

chapter 11|18 pages

Online Annotations

chapter 12|6 pages

Public Microarray Data Repositories