Course Syllabus

Complete syllabus: Syllabus2017.pdf

Application-based course in nonparametric statistics.

Modern toolbox of visualization and statistical methods for the analysis of data, examples drawn from immunology, microbiology, cancer research and ecology.

High quality visualizations using ggplot2, making heatmaps, hierarchical clustering, mixture models.

Methods covered include multivariate methods (PCA and extensions), sparse representations (trees, networks, contingency tables) as well as nonparametric testing (Bootstrap, permutation and Monte Carlo methods).

Hands on, use R and cover many Bioconductor packages (DESeq2, phyloseq, EBImage, opencyto).