Bioinformatics for Precision Medicine: Biomarker Labs, 4 credits

Course content

The overall aim of the course is to teach hands-on state-of-the-art analysis of high-throughput molecular datasets (OMICs) towards the development of diagnostic biosignatures. No programming knowledge is needed. Participants will analyze their individual gene expression dataset using univariate and machine learning methods. Software used in this course is RStudio and some of the packages within Bioconductor. Running the course on students' own laptops will be supported.

Course information

Course language is English.

The course is planned for the spring of 2026.

Admission requirements

To gain access to the course and complete the examinations included in the course, the applicant must be admitted to doctoral education at Örebro University. Applicants enrolled at another university can participate in availability.

Application

Application will open in January 2026.