Product Description
This book is the first to focus on the application of mathematical networks for analyzing microarray data. This method goes well beyond the standard clustering methods traditionally used.

From the contents:

Understanding and Preprocessing Microarray Data
Clustering of Microarray Data
Reconstruction of the Yeast Cell Cycle by Partial Correlations of Higher Order
Bilayer Verification Algorithm
Probabilistic Boolean Networks as Models for Gene Regulation
Estimating Transcriptional Regulatory Networks by a Bayesian Network
Analysis of Therapeutic Compound Effects
Statistical Methods for Inference of Genetic Networks and Regulatory Modules
Identification of Genetic Networks by Structural Equations
Predicting Functional Modules Using Microarray and Protein Interaction Data
Integrating Results from Literature Mining and Microarray Experiments to Infer Gene Networks

The book is for both, scientists using the technique as well as those developing new analysis techniques.

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