DNA Microarrays, Part B: Databases and Statistics: Volume 411 (Hardcover)

Section I. Databases and statistics.
Chapter 1: The Use of External Controls in Microarray Experiments.
Chapter 2: Standards in gene expression microarray experiments.
Chapter 3: Scanning Microarrays: Current Methods and Future Directions.
Chapter 4: BioArray software environment.
Chapter 5: Bioconductor: An open source framework for bioinformatics and computational biology.
Chapter 6: TM4 microarray software suite.
Chaper 7: Clustering microarray data.
Chapter 8: Analysis of variance of microarray data.
Chapter 9: Microarray quality control.
Chapter 10: Principle component and ANOVA analysis of array data using Partek® Genomics SolutionTM.
Chapter 11: Statistics for ChIP-chip and DNase hypersensitivity experiments on NimbleGen arrays.
Chapter 12: Extrapolating traditional DNA microarray statistics to the tiling and protein microarray technologies.
Chapter 13: Random dataset generation to support microarray analysis.
Chapter 14:
Using ontologies to annotate microarray experiments
Chapter 15: Interpreting experimental results using gene ontologies.
Chapter 16: Gene Expression Omnibus (GEO): Microarray data storage, submission, retrieval and analysis.
Chapter 17: Data storage and analysis in ArrayExpress.
Chapter 18: Clustering methods for analyzing large datasets: gonad development, a study case.
Chapter 19: GeneSprings.
Chapter 20: Visualizing networks.
Chapter 21: Random forests for array data.
Chapter 22: Hybridization troubleshooting.
Chapter 23: RNA extraction and handling for microarray analysis.
Chapter 24: Analyzing MicroRNA expression using microarrays.