On March 8, 2018, Michiel Stock was awarded the Best Poster Presentation Award for presenting his poster "Algebraic shortcuts for cross-validation of supervised network prediction at light speed" (M. Stock, T. Pahikkala, A. Airola, J. Meys, W. Waegeman and B. De Baets) at the second edition of the VIB Conference on Applied Bioinformatics in Life Sciences held in Leuven, Belgium. The poster presents tools to rapidly train, tune and validate machine learning models for predicting edges in networks.

This research is an ongoing collaboration with the Department of Future Technologies of the University of Turku.

A software package xnet is under development.

Check out the poster (PDF)