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.

Contents

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

English

Evaluation

Numeric 1-5.

Study materials

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

Further information

Not available any longer.

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

Belongs to following study modules