J. M. Smit, J. H. Krijthe, W. M.R. Kant, J. A. Labrecque, M. Komorowski, D. A.M.P.J. Gommers, J. van Bommel, M. J.T. Reinders, M. E. van Genderen (2023), Causal inference using observational intensive care unit data: a scoping review and recommendations for future practice, In npj Digital Medicine.

Pia Keukeleire, Stavros Makrodimitris, Marcel Reinders (2023), Cell type deconvolution of methylated cell-free DNA at the resolution of individual reads, In NAR Genomics and Bioinformatics Volume 5.

Kirti Biharie, Lieke Michielsen, Marcel J.T. Reinders, Ahmed Mahfouz (2023), Cell type matching across species using protein embeddings and transfer learning, In Bioinformatics (Oxford, England) Volume 39 p.i404-i412.

Gerard A. Bouland, Ahmed Mahfouz, Marcel J.T. Reinders (2023), Consequences and opportunities arising due to sparser single-cell RNA-seq datasets, In Genome biology Volume 24.

Arman Naseri, David Tax, Pim van der Harst, Marcel Reinders, Ivo van der Bilt (2023), Data-efficient machine learning methods in the ME-TIME study: Rationale and design of a longitudinal study to detect atrial fibrillation and heart failure from wearables, In Cardiovascular Digital Health Journal Volume 4 p.165-172.

Abdul Rehman Khan, Marcel J.T. Reinders, Indu Khatri (2023), Determining epitope specificity of T-cell receptors with transformers, In Bioinformatics (Oxford, England) Volume 39.

Lieke M. Kuiper, Harmke A. Polinder-Bos, Daniele Bizzarri, Dina Vojinovic, Costanza L. Vallerga, Marcel J.T. Reinders, P. Eline Slagboom, Erik B. van den Akker, More Authors (2023), Epigenetic and Metabolomic Biomarkers for Biological Age: A Comparative Analysis of Mortality and Frailty Risk, In The journals of gerontology. Series A, Biological sciences and medical sciences Volume 78 p.1753-1762.

M. Zhang, G.A. Bouland, H. Holstege, M.J.T. Reinders (2023), Identifying Aging and Alzheimer Disease–Associated Somatic Variations in Excitatory Neurons From the Human Frontal Cortex, In Neurology: Genetics Volume 9 p.1-12.

Elisabeth M. Jongbloed, Maurice P.H.M. Jansen, Vanja de Weerd, Jean A. Helmijr, Corine M. Beaufort, Marcel J.T. Reinders, Ronald van Marion, Wilfred F.J. van IJcken, Stavros Makrodimitris (2023), Machine learning-based somatic variant calling in cell-free DNA of metastatic breast cancer patients using large NGS panels, In Scientific Reports Volume 13.

Marie de Bakker, Teun B. Petersen, Anja J. Rueten-Budde, K. Martijn Akkerhuis, Victor A. Umans, Jasper J. Brugts, Tjeerd Germans, Marcel J.T. Reinders, Peter D. Katsikis, More Authors (2023), Machine learning–based biomarker profile derived from 4210 serially measured proteins predicts clinical outcome of patients with heart failure, In European Heart Journal - Digital Health Volume 4 p.444-454.