19 August 2016
Machine Learning and Bioinformatics: Biomedical Data Science
This course will cover current topics related to bioinformatics challenges and machine learning applications in biomedicine. The specific topics are:
1) How to access and use genome-wide measurement data across disease. The course will briefly introduce basics of molecular biology and biomedicine and give a broad overview of the data produced by the latest measurement technologies.
2) How to model and identify candidate genes and pathways involved in disease pathogenesis.
3) Mathematical basis of dimensionality reduction, signal feature analysis and inference
The course consists of lectures and small group exercises given by national and international experts. In addition students will make a project plan in small teams during which they practice working in an interdisciplinary setting. This course is applicable to undergraduate and post-graduate students with biomedical or computational background.
merja.heinaniemi(at)uef.fi, ville.hautamaki(at)uef.fi, petri.polonen(at)uef.fi
Master's and Doctoral students
EUR 500: Course fee.