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Results: 299
Number of items: 299
  • Open Access
    Smit, S., Szymańska, E., Kunz, I., Gomez Roldan, V., van Tilborg, M. W. E. M., Weber, P., Prudence, K., van der Kloet, F. M., van Duynhoven, J. P. M., Smilde, A. K., de Vos, R. C. H., & Bendik, I. (2014). Nutrikinetic modeling reveals order of genistein phase II metabolites appearance in human plasma. Molecular nutrition & food research, 58(11), 2111-2121. https://doi.org/10.1002/mnfr.201400325
  • Open Access
    Vis, D. J., Westerhuis, J. A., Hoefsloot, H. C. J., Roelfsema, F., van der Greef, J., Hendriks, M. M. W. B., & Smilde, A. K. (2014). Network identification of hormonal regulation. PLoS ONE, 9(5), e96284. https://doi.org/10.1371/journal.pone.0096284
  • Open Access
    Saccenti, E., Tenori, L., Verbruggen, P., Timmerman, M. E., Bouwman, J., van der Greef, J., Luchniat, C., & Smilde, A. K. (2014). Of monkeys and men: a metabolomic analysis of static and dynamic urinary metabolic phenotypes in two species. PLoS ONE, 9(9), e106077. https://doi.org/10.1371/journal.pone.0106077
  • Rubingh, C. M., Martens, H., van der Voet, H., & Smilde, A. K. (2013). The costs of complex model optimization. Chemometrics and Intelligent Laboratory Systems, 125, 139-146. https://doi.org/10.1016/j.chemolab.2013.04.004
  • van Deun, K., Smilde, A. K., Thorrez, L., Kiers, H. A. L., & van Mechelen, I. (2013). Identifying common and distinctive processes underlying multiset data. Chemometrics and Intelligent Laboratory Systems, 129, 40-51. https://doi.org/10.1016/j.chemolab.2013.07.005
  • Open Access
    Kutzera, J., Hoefsloot, H. C. J., Malovannaya, A., Smit, A. B., Van Mechelen, I., & Smilde, A. K. (2013). Inferring protein-protein interaction complexes from immunoprecipitation data. BMC Research Notes, 6, Article 468. https://doi.org/10.1186/1756-0500-6-468
  • Smilde, A. K., Hendriks, M. M. W. B., Westerhuis, J., & Hoefsloot, H. C. J. (2013). Data Processing in Metabolomics. In M. Lämmerhofer, & W. Weckwerth (Eds.), Metabolomics in Practice: Successful Strategies to Generate and Analyze Metabolic Data (pp. 261- 284). Wiley-VCH. https://doi.org/10.1002/9783527655861.ch11
  • Christin, C., Hoefsloot, H. C. J., Smilde, A. K., Hoekman, B., Suits, F., Bischoff, R., & Horvatovich, P. (2013). A critical assessment of feature selection methods for biomarker discovery in clinical proteomics. Molecular & Cellular Proteomics, 12(1), 263-276. https://doi.org/10.1074/mcp.M112.022566
  • Open Access
    Hendrickx, D. M. (2013). Network inference from time-resolved metabolomics data. [Thesis, fully internal, Universiteit van Amsterdam].
  • Hendrickx, D. M., Hoefsloot, H. C. J., Hendriks, M. M. W. B., Canelas, A. B., & Smilde, A. K. (2012). Global test for metabolic pathway differences between conditions. Analytica Chimica Acta, 719, 8-15. https://doi.org/10.1016/j.aca.2011.12.051
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