Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 177
Number of items: 177
  • Open Access
    Deacon-Price, C., Mijatovic, A., Hoefsloot, H. C. J., Rothenberg, G., & Garcia, A. C. (2025). Parameter Dependency of Electrochemical Reduction of CO2 in Acetonitrile - A Data Driven Approach. ChemPhysChem, 26(4), Article e202400794. https://doi.org/10.1002/cphc.202400794
  • Open Access
    Westerhuis, J. A., Heintz-Buschart, A., Hoefsloot, H. C. J., van der Kloet, F. M., van der Ploeg, G. R., & White, F. T. G. (2025). Comparison of Chemometric Explorative Multi-Omics Data Analysis Methods Applied to a Mechanistic Pan-Cancer Cell Model. Journal of Chemometrics, 39(2), Article e70001. https://doi.org/10.1002/cem.70001
  • Open Access
    Li, L., Hoefsloot, H., Bakker, B. M., Horner, D., Rasmussen, M. A., Smilde, A. K., & Acar, E. (2025). Longitudinal Metabolomics Data Analysis Informed by Mechanistic Models. Metabolites, 15(1), Article 2. https://doi.org/10.3390/metabo15010002
  • Wan, Z., Henneman, P., Hoefsloot, H. C. J., Kloosterman, A. D., & Verschure, P. J. (2025). Improved epigenetic age prediction models by combining sex chromosome and autosomal markers. Epigenetics and Chromatin, 18(1), Article 45. https://doi.org/10.1186/s13072-025-00606-5
  • Open Access
    Li, L., Yan, S., Bakker, B. M., Hoefsloot, H., Chawes, B., Horner, D., Rasmussen, M. A., Smilde, A. K., & Acar, E. (2024). Analyzing postprandial metabolomics data using multiway models: a simulation study. BMC Bioinformatics, 25, Article 94. https://doi.org/10.1186/s12859-024-05686-w
  • Open Access
    García-Valiente, R., Merino Tejero, E., Stratigopoulou, M., Balashova, D., Jongejan, A., Lashgari, D., Pélissier, A., Caniels, T. G., Claireaux, M. A. F., Musters, A., van Gils, M. J., Rodríguez Martínez, M., de Vries, N., Meyer-Hermann, M., Guikema, J. E. J., Hoefsloot, H., & van Kampen, A. H. C. (2023). Understanding repertoire sequencing data through a multiscale computational model of the germinal center. Npj Systems Biology and Applications, 9, Article 8. https://doi.org/10.1038/s41540-023-00271-y
  • Open Access
    Li, L., Hoefsloot, H., de Graaf, A. A., Acar, E., & Smilde, A. K. (2022). Exploring dynamic metabolomics data with multiway data analysis: a simulation study. BMC Bioinformatics, 23(1), Article 31. https://doi.org/10.1186/s12859-021-04550-5
  • Open Access
    Khakimov, B., Hoefsloot, H. C. J., Mobaraki, N., Aru, V., Kristensen, M., Lind, M. V., Holm, L., Castro-Mejía, J. L., Nielsen, D. S., Jacobs, D. M., Smilde, A. K., & Engelsen, S. B. (2022). Human Blood Lipoprotein Predictions from 1H NMR Spectra: Protocol, Model Performances, and Cage of Covariance. Analytical Chemistry, 94(2), 628–636. https://doi.org/10.1101/2021.02.24.432509, https://doi.org/10.1021/acs.analchem.1c01654
  • Open Access
    Lashgari, D., Merino Tejero, E., Meyer-Hermann, M., Claireaux, M. A. F., van Gils, M. J., Hoefsloot, H. C. J., & Van Kampen, A. H. C. (2022). From affinity selection to kinetic selection in Germinal Centre modelling. PLoS Computational Biology, 18(6), Article e1010168. https://doi.org/10.1371/journal.pcbi.1010168
  • Open Access
    Merino Tejero, E. (2022). Multiscale modelling of plasma cell differentiation in the germinal center. [Thesis, fully internal, Universiteit van Amsterdam].
Page 1 of 18