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Results: 299
Number of items: 299
  • 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
    Großmann, J. L., Westerhuis, J. A., Næs, T., & Smilde, A. K. (2023). Critical evaluation of assessor difference correction approaches in sensory analysis. Food Quality and Preference, 106, Article 104792. https://doi.org/10.1016/j.foodqual.2022.104792
  • Open Access
    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
  • Open Access
    Skogholt, J., Liland, K. H., Næs, T., Smilde, A. K., & Indahl, U. G. (2023). Selection of principal variables through a modified Gram–Schmidt process with and without supervision. Journal of Chemometrics, 37(10), Article e3510. https://doi.org/10.1002/cem.3510
  • Open Access
    Nørgaard, S. K., Følsgaard, N., Vissing, N. H., Kyvsgaard, J. N., Chawes, B., Stokholm, J., Smilde, A. K., Bønnelykke, K., Bisgaard, H., & Rasmussen, M. A. (2023). Novel Connections of Common Childhood Illnesses Based on More Than 5 Million Diary Registrations From Birth Until Age 3 Years. Journal of Allergy and Clinical Immunology: In Practice, 11(7), 2162-2171.e6. https://doi.org/10.1016/j.jaip.2023.04.030
  • Open Access
    Erdős, B., Westerhuis, J. A., Adriaens, M. E., O'Donovan, S. D., Xie, R., Singh-Povel, C. M., Smilde, A. K., & Arts, I. C. W. (2023). Analysis of high-dimensional metabolomics data with complex temporal dynamics using RM-ASCA. PLoS Computational Biology, 19(6), Article e1011221. https://doi.org/10.1371/journal.pcbi.1011221
  • Smilde, A. K., Næs, T., & Liland, K. H. (2022). Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences. Wiley. https://doi.org/10.1002/9781119600978
  • 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
    Castro-Mejía, J. L., Khakimov, B., Aru, V., Lind, M. V., Garne, E., Paulová, P., Tavakkoli, E., Hansen, L. H., Smilde, A. K., Holm, L., Engelsen, S. B., & Nielsen, D. S. (2022). Gut Microbiome and Its Cofactors Are Linked to Lipoprotein Distribution Profiles. Microorganisms, 10(11), Article 2156. https://doi.org/10.3390/microorganisms10112156
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