Prof. Dr. Martin Vingron

Keynote: Machine Learning in Gene Regulation: Simple Methods and Complex Data

This presentation will summarize a few projects where machine learning methods are being employed to unravel gene regulatory mechanisms. The challenge lies in the combination of DNA sequence information with functional measurements on the epigenetic state of the chromatin in order to rationalize in which cellular state a gene gets activated. Time permitting, I will include some philosophical remarks on the importance of the choice of positive and, especially, negative training data.