1st Edition
Microarray Image Analysis An Algorithmic Approach
Introduction
Overview
Current state of art
Experimental approach
Key issues
Contribution to knowledge
Structure of the book
Background
Introduction
Molecular biology
Microarray technology
Microarray analysis
Copasetic microarray analysis framework overview
Summary
Data Services
Introduction
Image transformation engine
Evaluation
Summary
Structure Extrapolation I
Introduction
Pyramidic contextual clustering
Evaluation
Summary
Structure Extrapolation II
Introduction
Image layout—master blocks
Image structure—meta-blocks
Summary
Feature Identification I
Introduction
Spatial binding
Evaluation of feature identification
Evaluation of copasetic microarray analysis framework
Summary
Feature Identification II
Background
Proposed approach—subgrid detection
Experimental results
Conclusions
Chained Fourier Background Reconstruction
Introduction
Existing techniques
A new technique
Experiments and results
Conclusions
Graph-Cutting for Improving Microarray Gene Expression
Reconstructions
Introduction
Existing techniques
Proposed technique
Experiments and results
Conclusions
Stochastic Dynamic Modeling of Short Gene Expression Time Series Data
Introduction
Stochastic dynamic model for gene expression data
An EM algorithm for parameter identification
Simulation results
Discussions
Conclusions and future work
Conclusions
Introduction
Achievements
Contributions to microarray biology domain
Contributions to computer science domain
Future research topics
Appendix A: Microarray Variants
Appendix B: Basic Transformations
Appendix C: Clustering
Appendix D: A Glance on Mining Gene Expression Data
Appendix E: Autocorrelation and GHT
References
Biography
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.
Overall, this is a well-written book, and it should be useful for researchers and practitioners who work on microarray image analysis.
—Peihua Qiu, Technometrics, May 2012
