 (5) Predictive design of sigma factor-specific promotersM. Van Brempt, J. Clauwaert, F. Mey, M. Stock, J. Maertens, W. Waegeman and M. De Mey(2020) NATURE COMMUNICATIONS. 11, 5822. |
| (4) Using structured pathology data to predict hospital-wide mortality at admissionM. Deschepper, W. Waegeman, D. Vogelaers and K. Eeckloo(2020) PLOS ONE. 15, e0235117. |
| (3) Discriminating bacterial phenotypes at the population and single-cell level: a comparison of flow cytometry and Raman spectroscopy fingerprintingC. García-Timermans, P. Rubbens, J. Heyse, F.-M. Kerckhof, R. Props, A. G. Skirtach, W. Waegeman and N. Boon(2020) CYTOMETRY: PART A. 97, 713-726. |
| (2) Fast pathogen identification using single-cell Matrix-Assisted Laser Desorption/Ionization-Aerosol Time-of-Flight mass spectrometry data and deep learning methodsC. Papagiannopoulou, R. Parchen, P. Rubbens and W. Waegeman(2020) ANALYTICAL CHEMISTRY. 92, 7523-7531. |
| (1) Algebraic shortcuts for leave-one-out cross-validation in supervised network inferenceM. Stock, T. Pahikkala, A. Airola, W. Waegeman and B. De Baets(2020) BRIEFINGS IN BIOINFORMATICS. 21, 262-271. |