Jeroen de Ridder: Interpretable gene classifiers and predicting treatment benefit

Tuesday 27/11/2018 at 15:00 in room B1.09

The de Ridder lab is the bioinformatics research group of the Center for Molecular Medicine at the University Medical Center Utrecht. They create and apply innovative data science methods to advance our understanding of disease biology. Their research efforts are always inspired by a biological question and typically deal with big data, such as large-scale genomics and epigenomics datasets. As a result, much of the research floats on machine learning and data integration algorithms.

In this talk Jeroen will discuss their work on gene expression classifiers. Firstly, he will address the challenge of ensuring classifiers are amenable to interpretation to obtain insight into biological processes that play a role in cancer initiation and progression. Secondly, he will discuss how one can obtain classifiers that predict treatment benefit to enable precision medicine.