Aligning Bayesian Network Classifiers with Medical Contexts. - Linda C. van der Gaag; Silja Renooij; Ad Feelders; Arend de Groote; Marinus J. C. Eijkemans; Frank J. Broekmans; Bart C. J. M. Fauser (MLDM, 2009)

Factors affecting the accuracy of a class prediction model in gene expression data. - Putri W. Novianti; Victor L. Jong; Kit C. B. Roes; Marinus J. C. Eijkemans (BMC Bioinform., 2015)

Selecting a classification function for class prediction with gene expression data. - Victor L. Jong; Putri W. Novianti; Kit C. B. Roes; Marinus J. C. Eijkemans (Bioinform., 2016)

Meta-analysis approach as a gene selection method in class prediction: does it improve model performance? A case study in acute myeloid leukemia. - Putri W. Novianti; Victor L. Jong; Kit C. B. Roes; Marinus J. C. Eijkemans (BMC Bioinform., 2017)

Identification of differentially expressed peptides in high-throughput proteomics data. - Michiel P. van Ooijen; Victor L. Jong; Marinus J. C. Eijkemans; Albert J. R. Heck; Arno C. Andeweg; Nadine A. Binai; Henk-Jan van den Ham (Briefings Bioinform., 2018)

Controlling for Biasing Signals in Images for Prognostic Models: Survival Predictions for Lung Cancer with Deep Learning. - Wouter A. C. van Amsterdam; Marinus J. C. Eijkemans (CoRR, 2019)

Eliminating biasing signals in lung cancer images for prognosis predictions with deep learning. - Wouter A. C. van Amsterdam; Joost J. C. Verhoeff; Pim A. de Jong; Tim Leiner; Marinus J. C. Eijkemans (npj Digit. Medicine, 2019)

Sharing Medical Big Data While Preserving Patient Confidentiality in Innovative Medicines Initiative: A Summary and Case Report from BigData@Heart. - Megan Schröder; Sam H. A. Muller; Eleni Vradi; Johanna Mielke; Yvonne M. F. Lim; Fabrice Couvelard; Menno Mostert; Stefan Koudstaal; Marinus J. C. Eijkemans; Christoph Gerlinger (Big Data, 2023)