Biological Data Analysis, 5 cr

In the context of genome-wide high-throughput data, we will study the following topics:

• High-throughput data as a data matrix
  

• Basics of statistical modeling

• R environment: Basics, reading and writing data, visualization, database access, using libraries

• Heatmaps, clustering and dimensionality reduction

• Applied hypothesis testing

• Multiple testing

• Survival analysis

• Graphs