Search results
Results: 297
Number of items: 297
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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 -
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 -
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 -
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 -
Li, L., Yan, S., Horner, D., Rasmussen, M. A., Smilde, A. K., & Acar, E. (2024). Revealing static and dynamic biomarkers from postprandial metabolomics data through coupled matrix and tensor factorizations. Metabolomics, 20(4), Article 86. https://doi.org/10.1007/s11306-024-02128-9 -
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 -
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 -
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 -
Becker, F., Smilde, A. K., & Acar, E. (2023). Unsupervised EHR-based phenotyping via matrix and tensor decompositions. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 13(4), Article e1494. https://doi.org/10.1002/widm.1494
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