Osaamistavoitteet

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.

Sisältö

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.

Toteutustavat

Opetustapa	Paikalla	Verkossa
Luento-opetus	20 t	0 t

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

Opetuskieli

englanti

Arviointi

Numerolla 1-5.

Suositellut suoritusajankohdat

2. vuoden syksy

Kirjallisuus/Oppimateriaali

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

Lisätietoja

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.

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