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Computationally efficient multi-sample flow cytometry data analysis using Gaussian mixture models
Rutten, P., Mocking, T. R., Cloos, J., van Wieringen, W. N. & Bachas, C., 23 Oct 2025, In: BMC bioinformatics. 26, 1, 18 p., 262.Research output: Contribution to journal › Article › Academic › peer-review
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Computational measurable residual disease assessment in acute myeloid leukemia: a retrospective validation in the HOVON-SAKK-132 trial
Mocking, T. R., Haaksma, L. H., Reuvekamp, T., Kelder, A., Scholten, W. J., Ngai, L. L., Breems, D. A., Fischer, T., Gjertsen, B. T., Griškevičius, L., Juliusson, G., Maertens, J. A., Manz, M. G., Pabst, T., Passweg, J. R., Porkka, K., Valk, P. J. M., Gradowska, P., Löwenberg, B. & de Leeuw, D. C. & 5 others, , Oct 2025, In: Leukemia. 39, 10, p. 2559-2562 4 p.Research output: Contribution to journal › Article › Academic › peer-review
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Applications of machine learning for immunophenotypic measurable residual disease assessment in acute myeloid leukemia
Mocking, T. R., van de Loosdrecht, A. A., Cloos, J. & Bachas, C., 21 May 2025, In: HemaSphere. 9, 5, 8 p., e70138.Research output: Contribution to journal › Review article › Academic › peer-review
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