DNA Microarrays and Gene Expression: From Experiments to Data Analysis and Modeling

This book has a good balance between experimental and computational methods. It provides a description of DNA microarray technologies, experimental protocols, and the multiple sources of noise and variability. The book contains an insightful overview of the computational issues and available algorithms for data analysis from differential expression, to dimensionality reduction and visualization (e.g. PCA), to clustering (e.g. hierarchical). New methods are described to gether with a good overview of available software, data bases, web sites, and other resources, as well as several "walk through" examples. I particularly enjoyed the last chapter on Systems Biology.

"Very complete : covers both the experimental and the computational methods with specific examples. Written by two top scientists who have worked hard at complementing each other's strengths. I particularly enjoyed the last chapter on Systems Biology which provides a masterful overview of current resaerch trends."