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Results: 299
Number of items: 299
  • Open Access
    Bro, R., & Smilde, A. K. (2014). Principal component analysis. Analytical Methods, 6(9), 2812-2831. https://doi.org/10.1039/c3ay41907j
  • 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
  • Open Access
    Reshetova, P., Smilde, A. K., van Kampen, A. H. C., & Westerhuis, J. A. (2014). Use of prior knowledge for the analysis of high-throughput transcriptomics and metabolomics data. BMC Systems Biology, 8(suppl 2), S2. https://doi.org/10.1186/1752-0509-8-S2-S2
  • 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
  • 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
  • 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
  • Open Access
    Hendrickx, D. M. (2013). Network inference from time-resolved metabolomics data. [Thesis, fully internal, Universiteit van Amsterdam].
  • Jansen, J. J., Szymanska, E., Hoefsloot, H. C. J., & Smilde, A. K. (2012). Individual differences in metabolomics: individualised responses and between-metabolite relationships. Metabolomics, 8(Suppl 1), 94-104. https://doi.org/10.1007/s11306-012-0414-8
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