Strategic themes:
Internationalisation,
Responsible conduct of research
Learning outcomes
After the course, the student can: - Describe both the data required as input for basic data analysis tasks and the information obtained from the output. - Choose the correct tools of data analysis in basic cases and explain why the tools are appropriate. - Use R for visualization of data. - Use R for programming simple scripts which apply standard data analysis tools to data.
Contents
Working with data matrices in R Hierarchical clustering Dimensionality reduction Genome-wide statistical testing Data visualization in R Accessing databases in R Gene ontology Enrichment analysis Visualizing pathway graphs Simple data analysis pipelines