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Analysis of microarray gene expression data

Graduate Programme in Public Health

Contents & aim:
The past decade has seen a wide-spread use of microarray technology for genome-wide gene expression analysis in medical and clinical researches. The application of microarray in biomedicine ranges from basic research to clinical investigations including disease etiology, patient classification, disease diagnosis and prognosis, etc. As a result, there have been  an ever increasing demand of biostatistical and bioinformatic analysis of the massive data produced by microarray experiments. This 4-day course is design to meet the need from PhD students, biomedical researchers and clinicians. The compact course covers the basic technique, quality control, data pre-processing and normalization, study design, statistical analysis, prediction model building and validation, biological pathway analysis, etc., with topics expanding from mRNA data to microRNA and RNAseq data.  Students are expected to perform independent analysis of their own data upon completion of the course.   

Course credit: 4 ECTS

Teaching arrangement: Lecturing plus guided exercises. 

Course leader:  Professor Qihua Tan, University of Southern Denmark

Place: SDU, Odense

Max number of participants: 22 PhD students

Course Fee:
The course is free of charge for PhD students enrolled in Universities that have joined the "Open market agreement".
For other participants there is a course fee of DKK 7969,-

Last Updated 26.02.2019