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Arkistoitu opetussuunnitelma 2011–2012
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BIOI4200 Expression Data Analysis 4 op
Organised by
Person in charge
Mauno Vihinen
Preceding studies

Learning outcomes

The goal of this course is to introduce statistical concepts and tools to analyze expression data. The expression data will be analyzed using the R language.


Introduction to the microarray technology; Introduction to data analysis with R; Primary (or “low-level") analysis of data; Dimension reduction, clustering & visualization; Promoter identification & microarray annotation; Integrated analyses: BioOntologies & reverse engineering; Bioconductor packages and expression data analysis.

Teaching methods

Teaching method Contact Online
Lectures 20 h 0 h

Lectures (appr.20 h) and practical training, Journal club.

Teaching language


Modes of study

Lectures (approx.20 h), Practical training, Journal Club


Numeric 1-5.

Recommended year of study

2. year autumn

Study materials

eBook (http://www.csc.fi/csc/julkaisut/oppaat/arraybook_overview)

Further information

Organization responsible: Tampere IBT
An alternative course SGN-6176 Microarray Data Analysis 5 ECTS is arranged by the Technical University of Tampere. Please note that in order to enrol on the course you have to fill in the JOO-application. More information about the enrolment etc. from Martti Tolvanen or Riitta Aallos.

You cannot include both BIOI4200 and BIOI4201 for credit in your degree.

Belongs to following study modules

Biolääketieteellisen teknologian yksikkö
Bioinformatics (Biokemia)
Biolääketieteellisen teknologian yksikkö
Systems biology / Data analysis (Bioinformatiikka)
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Biolääketieteellisen teknologian yksikkö