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Results: 8
Number of items: 8
  • Hendriks, M. M. W. B., van Eeuwijk, F. A., Jellema, R. H., Westerhuis, J. A., Reijmers, T. H., Hoefsloot, H. C. J., & Smilde, A. K. (2011). Data-processing strategies for metabolomics studies. Trends in Analytical Chemistry, 30(10), 1685-1698. https://doi.org/10.1016/j.trac.2011.04.019
  • Open Access
    Smilde, A. K., Westerhuis, J. A., Hoefsloot, H. C. J., Bijlsma, S., Rubingh, C. M., Vis, D. J., Jellema, R. H., Pijl, H., Roelfsema, F., & van der Greef, J. (2010). Dynamic metabolomic data analysis: a tutorial review. Metabolomics, 6(1), 3-17. https://doi.org/10.1007/s11306-009-0191-1
  • Smilde, A. K., van der Werf, M. J., Bijlsma, S., Werff-van der Vat, B. J. C., & Jellema, R. H. (2005). Fusion of mass spectrometry-based metabolomics data. Analytical Chemistry, 77(20), 6729-6736. https://doi.org/10.1021/ac051080y
  • Jellema, R. H., Janssen, A. M., Terpstra, M. E. J., & Smilde, A. K. (2005). Relating the sensoty sensation 'creamy mouthfeel' in custards to rheological measurements. Journal of Chemometrics, 19(3), 191-200. https://doi.org/10.1002/cem.922
  • Jellema, R. H., Louwerse, D. J., Smilde, A. K., Gerritsen, M. J. P., Guldemond, D., van der Voet, H., & Vereijken, P. F. G. (2003). A systematic quatification of the sources of variation of process analytical measurements in the steel industry. Quality Engineering, 15, 391-402.
  • Jellema, R. H., Louwerse, D. J., Smilde, A. K., Gerritsen, M. J. P., & Guldemond, D. (2000). Identification and quantification of sources of variation in the analysis of steel. Analytical Chemistry, 368, 397-406.
  • Open Access
    Jellema, R. H. (2000). Quantifying sources of variation in process analytical measurements. [Thesis, fully internal, Universiteit van Amsterdam].
  • Jellema, R. H., Smilde, A. K., Louwerse, D. J., Gerritsen, M. J. P., & Pronk, H. F. (1996). Variance components in steel analysis. In Proceedings of the 48th British Steel/BISPA Chemists' Conference and Exhibition.
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