Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford.
Data Mining Algorithms.- Advances in Genomic Experiment Techniques.- Case Study I: Hierarchical Clustering and Graph Algorithms for Tag-SNP Selection.- Case Study II: Constrained Unidimensional Scaling for Linkage Disequilibrium Maps.- Case Study III: Hybrid PCA-NN Algorithms for Continuous Microarray Time Series.- Discussions and Future Data Mining Projects.