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
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