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
Modes of study
Lectures (approx.20 h), Practical training, Journal Club
Organization responsible: Tampere IMT 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.