Modern statistics for modern biology

Generative models for discrete data

Statistical modeling

High-quality graphics in R

Mixture models

Clustering

Testing

Multivariate analysis

High-throughput count data

Multivariate methods for heterogeneous data

Networks and trees

Image data

Supervised learning

Design of high-throughput experiments and their analyses.