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A Novel High-Throughput Framework to Quantify Spatio-Temporal Tumor Clonal Dynamics
Baglamis, S., Saha, J., van der Heijden, M., Miedema, D. Ë. L. M., van Gent, D. É. M., Krawczyk, P. M., Vermeulen, L. & Sheraton, V. M., 2023, Computational Science - ICCS 2023 - 23rd International Conference, Proceedings: 23rd International Conference, Prague, Czech Republic, July 3–5, 2023 : proceedings. Mikyska, J., de Mulatier, C., Paszynski, M., Dongarra, J. J., Sloot, P. M., Mikyška, J. & Krzhizhanovskaya, V. V. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 14075 LNCS. p. 345-359 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution* › Academic › peer-review
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A mouse model for peritoneal metastases of colorectal origin recapitulates patient heterogeneity
Bastiaenen, V. P., Klaver, C. E. L., van der Heijden, M. C. S., Nijman, L. E., Lecca, M. C., Tanis, P. J., Lenos, K. J. & Vermeulen, L., 1 Nov 2020, In: Laboratory investigation; a journal of technical methods and pathology. 100, 11, p. 1465-1474 10 p.Research output: Contribution to journal › Article* › Academic › peer-review
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Colon cancer dynamics in development, progression and growt
van der Heijden, M. C. S., 2020, 229 p.Research output: PhD thesis › Thesis, fully internal
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