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Results: 299
Number of items: 299
  • Vis, D. J., Hendriks, M. M. W. B., Sailer, M., Smilde, A. K., Daniel, H., & Westerhuis, J. A. (2014). A technical note on challenge tests in human volunteers for multidimensional phenotyping. Chemometrics and Intelligent Laboratory Systems, 136, 81-84. https://doi.org/10.1016/j.chemolab.2014.05.006
  • Saccenti, E., Hoefsloot, H. C. J., Smilde, A. K., Westerhuis, J. A., & Hendriks, M. M. W. B. (2014). Reflections on univariate and multivariate analysis of metabolomics data. Metabolomics, 10(3), 361-374. https://doi.org/10.1007/s11306-013-0598-6
  • Mitra, V., Smilde, A., Hoefsloot, H., Suits, F., Bischoff, R., & Horvatovich, P. (2014). Inversion of peak elution order prevents uniform time alignment of complex liquid-chromatography coupled to mass spectrometry datasets. Journal of Chromatography A, 1373, 61-72. https://doi.org/10.1016/j.chroma.2014.10.101
  • Mihaleva, V. V., van Schalkwijk, D. B., de Graaf, A. A., van Duynhoven, J., van Dorsten, F. A., Vervoort, J., Smilde, A., Westerhuis, J. A., & Jacobs, D. M. (2014). A systematic approach to obtain validated Partial Least Square models for predicting lipoprotein subclasses from serum NMR spectra. Analytical Chemistry, 86(1), 543-550. https://doi.org/10.1021/ac402571z
  • 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
  • Kaduk, M., Hoefsloot, H. C. J., Vis, D. J., Reijmers, T., van der Greef, J., Smilde, A. K., & Hendriks, M. M. W. B. (2014). Correlated measurement error hampers association network inference. Journal of Chromatography B, 966, 93-99. https://doi.org/10.1016/j.jchromb2014.04.048
  • Open Access
    Coccia, M., Herve, C., Collignon, C., Van Deun, K., van den Berg, R. A., Van Mechelen, I., Smilde, A. K., Morel, S., Garcon, N., van der Most, R., Van Mechelen, M., & Didierlaurent, A. M. (2014). Early NK cell activation as a result of MPL and QS-21 combination controls the adjuvant effect induced by the human Adjuvant System AS01. Immunology, 143(S2), 61. https://doi.org/10.1111/imm.12405
  • 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
    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
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