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Results: 297
Number of items: 297
  • Open Access
    de Rooi, J., Nørgaard, S. K., Rasmussen, M. A., Bønnelykke, K., Bisgaard, H., & Smilde, A. K. (2018). Data representations and -analyses of binary diary data in pursuit of stratifying children based on common childhood illnesses. PLoS ONE, 13(11), Article e0207177. https://doi.org/10.1371/journal.pone.0207177
  • Open Access
    Mitra, V., Smilde, A. K., Bischoff, R., & Horvatovich, P. (2018). Tutorial: Correction of shifts in single-stage LC-MS(/MS) data. Analytica Chimica Acta, 999, 37-53. https://doi.org/10.1016/j.aca.2017.09.039
  • Open Access
    Waaijenborg, S., Korobko, O., Willems van Dijk, K., Lips, M., Hankemeier, T., Wilderjans, T. F., Smilde, A. K., & Westerhuis, J. A. (2018). Fusing metabolomics data sets with heterogeneous measurement errors. PLoS ONE, 13(4), Article e0195939. https://doi.org/10.1371/journal.pone.0195939
  • Open Access
    Aben, N., Westerhuis, J. A., Song, Y., Kiers, H. A. L., Michaut, M., Smilde, A. K., & Wessels, L. F. A. (2018). iTOP: Inferring the topology of omics data. Bioinformatics, 34(17), i988-i996. https://doi.org/10.1093/bioinformatics/bty636
  • Open Access
    Coccia, M., Collignon, C., Hervé, C., Chalon, A., Welsby, I., Detienne, S., van Helden, M. J., Dutta, S., Genito, C. J., Waters, N. C., Van Deun, K., Smilde, A. K., van den Berg, R. A., Franco, D., Bourguignon, P., Morel, S., Garçon, N., Lambrecht, B. N., Goriely, S., ... Didierlaurent, A. M. (2017). Cellular and molecular synergy in AS01-adjuvanted vaccines results in an early IFNγ response promoting vaccine immunogenicity. Expert Review of Vaccines, 2, Article 25. https://doi.org/10.1038/s41541-017-0027-3
  • Open Access
    Versteeg, R. I., Stenvers, D. J., Visintainer, D., Linnenbank, A., Tanck, M. W., Zwanenburg, G., Smilde, A. K., Fliers, E., Kalsbeek, A., Serlie, M. J., la Fleur, S. E., & Bisschop, P. H. (2017). Acute Effects of Morning Light on Plasma Glucose and Triglycerides in Healthy Men and Men with Type 2 Diabetes. Journal of biological rhythms, 32(2), 130-142. https://doi.org/10.1177/0748730417693480
  • Open Access
    Monsonis Centelles, S., Hoefsloot, H. C. J., Khakimov, B., Ebrahimi, P., Lind, M. V., Kristensen, M., de Roo, N., Jacobs, D. M., van Duynhoven, J., Cannet, C., Fang, F., Humpfer, E., Schäfer, H., Spraul, M., Engelsen, S. B., & Smilde, A. K. (2017). Toward Reliable Lipoprotein Particle Predictions from NMR Spectra of Human Blood: An Interlaboratory Ring Test. Analytical Chemistry, 89(15), 8004-8012. https://doi.org/10.1021/acs.analchem.7b01329
  • Open Access
    Aru, V., Lam, C., Khakimov, B., Hoefsloot, H. C. J., Zwanenburg, G., Lind, M. V., Schäfer, H., van Duynhoven, J., Jacobs, D. M., Smilde, A. K., & Engelsen, S. B. (2017). Quantification of lipoprotein profiles by nuclear magnetic resonance spectroscopy and multivariate data analysis. Trends in Analytical Chemistry, 94, 210-219. https://doi.org/10.1016/j.trac.2017.07.009
  • Open Access
    Reshetova, P. V. (2017). Use of prior knowledge in biological systems modelling. [Thesis, fully internal, Universiteit van Amsterdam].
  • Gardlo, A., Smilde, A. K., Hron, K., Hrdá, M., Karlíková, R., Friedecký, D., & Adam, T. (2016). Normalization techniques for PARAFAC modeling of urine metabolomic data. Metabolomics, 12(7), Article 117. https://doi.org/10.1007/s11306-016-1059-9
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