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Results: 299
Number of items: 299
  • 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
  • Kvalheim, O. M., Arneberg, R., Bleie, O., Rajalahti, T., Smilde, A. K., & Westerhuis, J. A. (2014). Variable importance in latent variable regression models. Journal of Chemometrics, 28(8), 615-622. https://doi.org/10.1002/cem.2626
  • 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
  • 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
  • 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
    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
    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
    Hasdemir, D., Hoefsloot, H. C. J., Westerhuis, J. A., & Smilde, A. K. (2014). How informative is your kinetic model?: using resampling methods for model invalidation. BMC Systems Biology, 8, 61. https://doi.org/10.1186/1752-0509-8-61
  • Open Access
    Zha, Y., Westerhuis, J. A., Muilwijk, B., Overkamp, K. M., Nijmeijer, B. M., Coulier, L., Smilde, A. K., & Punt, P. J. (2014). Identifying inhibitory compounds in lignocellulosic biomass hydrolysates using an exometabolomics approach. BMC Biotechnology, 14, 22. https://doi.org/10.1186/1472-6750-14-22
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