Tutorial - Machine Learning and Information Theoretic Methods for Molecular Biology and Medicine

Abstract

A short introduction to the application of informationtheoretic and machine learning methods to biomolecular and medical data is provided as the motivating material that supports special session dedicated to this topic at ESANN 2022. In particular, we highlight current developments of foundation such as interpretability and model certainty. Further, we emphasize how theoretic models provide a natural framework to deal with heterogeneous and complex data structures as frequently occurring in biomedical research.