To harness the high-throughput potential of DNA microarray technology, it is crucial that the analysis stages of the process are decoupled from the requirements of operator assistance. This book presents an automatic system for microarray image processing to make this decoupling a reality. The proposed system integrates and extends traditional analytical-based methods and custom-designed novel algorithms. The authors cover many new approaches for processing microarray images, such as novel subgrid detection, feature identification, and graph-cutting techniques. They include details of the algorithmic processes along with an analysis of the processes performance over real-world microarray image data.

Karl Fraser is a research fellow in the Centre for Intelligent Data Analysis at Brunel University.

Zidong Wang is a professor of dynamical systems and computing in the Department of Information Systems and Computing at Brunel University.

Xiaohu Liu is a professor of computing and head of the Centre for Intelligent Data Analysis at Brunel University.

Introduction. Background. Data Services. Structure Extrapolation I. Structure Extrapolation II. Feature Identification I. Feature Identification II. Chained Fourier Background Reconstruction. Graph-Cutting for Improving Microarray Gene Expression. Stochastic Dynamic Modeling of Short Gene Expression Time Series Data. Conclusions. Appendices. References.