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Arkistoitu opetussuunnitelma 2015–2017
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BIO4440 Biological data analysis with R 5 op
Organised by
Master's Degree Programme in Bioinformatics
Preceding studies
Compulsory:
Recommended:
Courses listed or equivalent knowledge required.

Keywords

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

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Open University Students
  • Doctoral Students
  • Exchange Students
Participation in course work 
In English
Exercise(s) 
In English

Evaluation

Numeric 1-5.

Belongs to following study modules

2015–2016
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
BioMediTech