1st Edition
DNA Methylation Microarrays Experimental Design and Statistical Analysis
256 Pages
by
Chapman & Hall
256 Pages
by
Chapman & Hall
256 Pages
by
Chapman & Hall
Also available as eBook on:
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 underlying principles as gene expression microarrays, many of the... Read more
Preface. Applied Statistics. DNA Methylation Microarrays and Quality Control. Experimental Design. Data Normalization. Significant Differential Methylation. High-Density Genomic Tiling Arrays. Cluster Analysis. Statistical Classification. Interdependency Network of DNA Methylation. Time Series Experiment. Online Annotations. Public Microarray Data Repositories. Open Source Software for Microarray Data Analysis. References. Index.
Biography
Sun-Chong Wang, Art Petronis
