Chapter 5: Advance statistical modeling and inference on large biological data

Chapter 6: Clustering: unsupervised learning in large screening biological data

Chapter 7: Classification: supervised learning in large screening biological data

Chapter 8: Multi-dimensional analysis and visualization on large biological data

Chapter 9: Experimental designs on high throughput biological experiments

Chapter 10: Statistical resampling techniques for large biological data analysis

Chapter 11: Statistical network analysis for biological systems and pathways

Chapter 12: Advances in current statistical genetics and association studies

Chapter 13: R and Bioconductor packages in bioinformatics

researchandmarkets