Waegeman Willem

willem.waegeman@ugent.be
@KERMIT, office 110.069
(+32) 9 264.92.00

linkedin logo Waegeman Willem
ORCID logo https://orcid.org/0000-0002-5950-3003
Biblio logoBiblio UGent
Google Scholar logoGoogle Scholar

Research Interests: Machine learning

Journal papers Conference papers

Journal papers

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