Ramin Ghorbani, Marcel J.T. Reinders, David M.J. Tax (2024), PATE: Proximity-Aware Time Series Anomaly Evaluation, In KDD '24 p.872-883, Association for Computing Machinery (ACM).

Ramin Ghorbani, Marcel J.T. Reinders, David M.J. Tax (2024), Personalized anomaly detection in PPG data using representation learning and biometric identification, In Biomedical Signal Processing and Control Volume 94.

Lieke Michielsen, Marcel J. T. Reinders, Ahmed Mahfouz (2024), Predicting cell population-specific gene expression from genomic sequence, In Frontiers in Bioinformatics Volume 4.

Ramin Ghorbani, Marcel J.T. Reinders, David M. J. Tax (2024), RESTAD: Reconstruction and Similarity Based Transformer for Time Series Anomaly Detection, In Proceedings of the 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP), IEEE.

Tamim Abdelaal, Laurens M. Grossouw, R. Jeroen Pasterkamp, Boudewijn P.F. Lelieveldt, Marcel J.T. Reinders, Ahmed Mahfouz (2024), SIRV: Spatial inference of RNA velocity at the single-cell resolution, In NAR Genomics and Bioinformatics Volume 6.

F.A. Bogaards, T. Gehrmann, M. Beekman, N. Lakenberg, H.E.D. Suchiman, C.P.G.M. de Groot, M.J.T. Reinders, P.E. Slagboom (2024), Secondary integrated analysis of multi-tissue transcriptomic responses to a combined lifestyle intervention in older adults from the GOTO nonrandomized trial, In Nature Communications Volume 15.

T.O. Mokveld, Z. Al-Ars, Erik A. Sistermans, M.J.T. Reinders (2023), A comprehensive performance analysis of sequence-based within-sample testing NIPT methods, In PLoS ONE Volume 18.

Michiel Bongaerts, Purva Kulkarni, Alan Zammit, Ramon Bonte, Leo A. J. Kluijtmans, Henk J. Blom, Udo F. H. Engelke, D.M.J. Tax, George J.G. Ruijter, M.J.T. Reinders (2023), Benchmarking Outlier Detection Methods for Detecting IEM Patients in Untargeted Metabolomics Data, In Metabolites Volume 13.

Mostafa Eltager, Tamim Abdelaal, Mohammed Charrout, A.M.E.T.A. Mahfouz, M.J.T. Reinders, Stavros Makrodimitris (2023), Benchmarking variational AutoEncoders on cancer transcriptomics data, In PLoS ONE Volume 18 .

Niccolo' Tesi, Sven van der Lee, Marc Hulsman, Henne Holstege, Marcel Reinders (2023), Bioinformatics Strategies for the Analysis and Integration of Large-Scale Multiomics Data, The journals of gerontology. Series A, Biological sciences and medical sciences Volume 78 p.659-662.