Supervised learning, classification, cross validation, and variable selection

Sample clustering, gene clustering, and PCA

Differential methylation analysis of CpG islands

RNA-seq differential expression analysis using edgeR, DESeq, and voom

Fitting and interpreting linear models (high volume)

Fitting and interpreting linear models (low volume)

Two-group comparisons and data aggregation

Introduction to R graphics using ggplot2

Playing with probability distributions and simulations

Exploration of small gene expression dataset

Analysis of the Global Terrorism Database