Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 176
Number of items: 176
  • Hoefsloot, H. C. J., Verouden, M. P. H., Westerhuis, J. A., & Smilde, A. K. (2006). Maximum Likelihood Scalling (MALS). Journal of Chemometrics, 20(3-4), 120-127. https://doi.org/10.1002/cem.996
  • Visser, D. C., Hoefsloot, H. C. J., & Iedema, P. D. (2006). Modelling multi-viscosity systems with dissipative particle dynamics. Journal of computational Physics, 214(2), 491-504. https://doi.org/10.1016/j.jcp.2005.09.022
  • Iedema, P. D., & Hoefsloot, H. C. J. (2006). Conditional Monte Carlo sampling to find branching architectures of polymers from radical polymerizations with transfer to polymer. Macromolecules, 39(8), 3081-3088. https://doi.org/10.1021/ma052535o
  • Hageman, J. A., van den Berg, R. A., Westerhuis, J. A., Hoefsloot, H. C. J., & Smilde, A. K. (2006). Bagged K-means clustering of metabolome data. Critical reviews in analytical chemistry, 36(3-4), 210-220.
  • Stanimirovic, O., Hoefsloot, H. C. J., de Bokx, P., & Smilde, A. K. (2006). Linking PCA and time derivatives of dynamic systems. Journal of Chemometrics, 20, 43-53. https://doi.org/10.1002/cem.980
  • Open Access
    van den Berg, R. A., Hoefsloot, H. C. J., Westerhuis, J. A., Smilde, A. K., & van der Werf, M. J. (2006). Centering, scaling and transformations: improving the biological information content of metabolomics data. BMC Genomics, 7, 142.
  • Open Access
    Backer, J. A. (2006). Bridging time and length scales in dissipative particle dynamics. [Thesis, fully internal, Universiteit van Amsterdam].
  • Visser, D. C., Hoefsloot, H. C. J., & Iedema, P. D. (2005). Comprehensive boundary method for solid walls in dissipative particle dynamics. Journal of computational Physics, 205(2), 626-639. https://doi.org/10.1016/j.jcp.2004.11.020
  • Smilde, A. K., Jansen, J. J., Hoefsloot, H. C. J., Lamers, R. J. A. N., van der Greef, J., & Timmerman, M. E. (2005). ANOVA-simultaneous component analysis (ASCA): a new tool for analyzing designed metabolomics data. Bioinformatics, 21(13), 3043-3048. https://doi.org/10.1093/bioinformatics/bti476
  • Jansen, J. J., Hoefsloot, H. C. J., van der Greef, J., Timmerman, M. E., Westerhuis, J. A., & Smilde, A. K. (2005). ASCA: analysis of multivariate data obtained from an experimental design. Journal of Chemometrics, 19, 469-481. https://doi.org/10.1002/cem.952
Page 11 of 18