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David M. Vossen, Caroline V.M. Verhagen, Martijn van der Heijden, Paul B.M. Essers, Harry Bartelink, Marcel Verheij, Lodewyk F.A. Wessels, Michiel W.M. van den Brekel, Conchita Vens (2019), Genetic factors associated with a poor outcome in head and neck cancer patients receiving definitive chemoradiotherapy, In Cancers Volume 11.

Yongsoo Kim, Tycho Bismeijer, Wilbert Zwart, Lodewyk F.A. Wessels, Daniel J. Vis (2019), Genomic data integration by WON-PARAFAC identifies interpretable factors for predicting drug-sensitivity in vivo, In Nature Communications Volume 10.

Silvia L. Pintea, Jian Zheng, Xilin Li, Paulina J.M. Bank, Jacobus J. van Hilten, Jan C. van Gemert (2019), Hand-tremor frequency estimation in videos, Laura Leal-Taixé, Stefan Roth (Eds.), In Computer Vision p.213-228, Springer.

Fiona A. Hagenbeek, N. Bomer, J. A. van Hilten, J. Fu, A. A.W.A. van der Heijden, A. van der Spek, E. Boersma, E. B. van den Akker, M. J.T. Reinders, More Authors (2019), Heritability estimates for 361 blood metabolites across 40 genome-wide association studies, In Nature Communications Volume 11.

Natasja L. De Vries, Vincent Van Unen, Marieke E. Ijsselsteijn, Tamim Abdelaal, Ruud Van Der Breggen, Arantza Farina Sarasqueta, Ahmed Mahfouz, Koen C.M.J. Peeters, Thomas Höllt, Boudewijn P.F. Lelieveldt, Frits Koning, Noel F.C.C. De Miranda (2019), High-dimensional cytometric analysis of colorectal cancer reveals novel mediators of antitumour immunity, In Gut Volume 69 (2020) p.691-703.

Vered Raz, Yotam Raz, Davy van de Vijver, Davide Bindellini, Maaike van Putten, Erik van den Akker (2019), High-throughput data-driven analysis of myofiber composition reveals muscle-specific disease and age-associated patterns, In FASEB Journal Volume 33 p.4046-4053.

Joris van de Haar, Sander Canisius, Michael K. Yu, Emile E. Voest, Lodewyk F.A. Wessels, Trey Ideker (2019), Identifying Epistasis in Cancer Genomes: A Delicate Affair, In Cell Volume 177 p.1375-1383.

Stavros Makrodimitris, Roeland van Ham, Marcel Reinders (2019), Improving protein function prediction using protein sequence and GO-term similarities, In Bioinformatics Volume 35 p.1116-1124.

Ajaya Adhikari, David M.J. Tax, Riccardo Satta, Matthias Faeth (2019), LEAFAGE: Example-based and Feature importance-based Explanations for Black-box ML models, In 2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019 Volume 2019-June, IEEE.