Statistical Bioinformatics

Catalog description

This course introduces statistical methods for high dimensional biomedical data, primarily gene expression and sequence analysis, using Bioconductor tools. Topics include data visualization, differential expression (in high-dimensional count/continuous data), annotation testing, scoring alignments, HMMs, and phylogenetic trees. For graduate (6000-level) credit additional work is required.