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.

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