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Results: 165
Number of items: 165
  • Open Access
    van der Ploeg, G. R., White, F. T. G., Jakobsen, R. R., Westerhuis, J. A., Heintz-Buschart, A., & Smilde, A. K. (2026). ACMTF-R: Supervised multi-omics data integration uncovering shared and distinct outcome-associated variation. PLoS ONE, 21(1), Article e0339650. https://doi.org/10.1371/journal.pone.0339650
  • Open Access
    van der Ploeg, G. R. (2026). Microbiome data analysis using multi-way methods. [Thesis, fully internal, Universiteit van Amsterdam].
  • Smilde, A. K., Marini, F., Westerhuis, J. A., & Liland, K. H. (2025). Analysis of Variance for High-Dimensional Data: Applications in Life, Food, and Chemical Sciences. Wiley. https://doi.org/10.1002/9781394211241
  • Open Access
    Madssen, TS., Smilde, A., Camacho, J., Jarmund, AH., Westerhuis, J., & Giskeødegård, GF. (2025). Statistical Validation of Multivariate Treatment Effects in Longitudinal Study Designs. Journal of Chemometrics, 39(8), Article e70044. https://doi.org/10.1002/cem.70044
  • 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
    Leygeber, S., Diez-Simon, C., Großmann, J. L., Dubbelman, A. C., Harms, A. C., Westerhuis, J. A., Jacobs, D. M., Lindenburg, P. W., Hendriks, M. M. W. B., Ammerlaan, B. C. H., van den Berg, M. A., van Doorn, R., Mumm, R., Smilde, A. K., Hall, R. D., & Hankemeier, T. (2025). A Data-Driven Approach to Link GC-MS and LC-MS with Sensory Attributes of Chicken Bouillon with Added Yeast-Derived Flavor Products in a Combined Prediction Model. Metabolites, 15(5), Article 317. https://doi.org/10.3390/metabo15050317
  • Open Access
    Abegaz, F., Abedini, D., Dong, L., Westerhuis, J. A., van Eeuwijk, F., Bouwmeester, H., & Smilde, A. K. (2025). Analysis of microbiome high-dimensional experimental design data using generalized linear models and ANOVA simultaneous component analysis. Frontiers in Microbiomes, 4, Article 1584516. https://doi.org/10.3389/frmbi.2025.1584516
  • Open Access
    van der Ploeg, G. R., Brandt, B. W., Keijser, B. J. F., van der Veen, M. H., Volgenant, C. M. C., Zaura, E., Smilde, A. K., Westerhuis, J. A., & Heintz-Buschart, A. (2024). Multi-way modelling of oral microbial dynamics and host-microbiome interactions during induced gingivitis. npj Biofilms and Microbiomes, 10, Article 89. https://doi.org/10.1038/s41522-024-00565-x
  • Open Access
    Abegaz, F., Abedini, D., White, F., Guerrieri, A., Zancarini, A., Dong, L., Westerhuis, J. A., van Eeuwijk, F., Bouwmeester, H., & Smilde, A. K. (2024). A strategy for differential abundance analysis of sparse microbiome data with group-wise structured zeros. Scientific Reports, 14, Article 12433. https://doi.org/10.1038/s41598-024-62437-w
  • Open Access
    Isaiah, S., Westerhuis, J. A., Loots, D. T., Solomons, R., van Furth, M. T., van Elsland, S., van der Kuip, M., & Mason, S. (2024). The diagnostic potential of urine in paediatric patients undergoing initial treatment for tuberculous meningitis. Scientific Reports, 14, Article 19471. https://doi.org/10.1038/s41598-024-70419-1
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