Microarray Image Analysis - Karl Fraser

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Résumé :
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 title presents an automatic system for microarray image processing to make this decoupling a reality.

Biographie:
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.

Sommaire:
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