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Results: 297
Number of items: 297
  • Open Access
    Roeters, S. J., Sawall, M., Eskildsen, C. E., Panman, M. R., Tordai, G., Koeman, M., Neymeyr, K., Jansen, J., Smilde, A. K., & Woutersen, S. (2020). Unraveling VEALYL Amyloid Formation Using Advanced Vibrational Spectroscopy and Microscopy. Biophysical Journal, 119(1), 87-98. https://doi.org/10.1016/j.bpj.2020.05.026
  • Open Access
    Kranenburg, R. F., Peroni, D., Affourtit, S., Westerhuis, J. A., Smilde, A. K., & van Asten, A. C. (2020). Revealing hidden information in GC–MS spectra from isomeric drugs: Chemometrics based identification from 15 eV and 70 eV EI mass spectra. Forensic Chemistry, 18, Article 100225. https://doi.org/10.1016/j.forc.2020.100225
  • Open Access
    Saccenti, E., Hendriks, M. H. W. B., & Smilde, A. K. (2020). Corruption of the Pearson correlation coefficient by measurement error and its estimation, bias, and correction under different error models. Scientific Reports, 10, Article 438. https://doi.org/10.1038/s41598-019-57247-4
  • Open Access
    Uh, H.-W., Klarić, L., Ugrina, I., Lauc, G., Smilde, A. K., & Houwing-Duistermaat, J. J. (2020). Choosing proper normalization is essential for discovery of sparse glycan biomarkers. Omics, 16(3), 231-242. https://doi.org/10.1039/c9mo00174c
  • Open Access
    Alinaghi, M., Bertram, H. C., Brunse, A., Smilde, A. K., & Westerhuis, J. A. (2020). Common and distinct variation in data fusion of designed experimental data. Metabolomics, 16(1), Article 2. https://doi.org/10.1007/s11306-019-1622-2
  • Song, Y., Westerhuis, J. A., Aben, N., Michaut, M., Wessels, L. F. A., & Smilde, A. K. (2019). Principal component analysis of binary genomics data. Briefings in Bioinformatics, 20(1), 317-329. https://doi.org/10.1093/bib/bbx119
  • Måge, I., Smilde, A. K., & van der Kloet, F. M. (2019). Performance of methods that separate common and distinct variation in multiple data blocks. Journal of Chemometrics, 33(1), Article e3085. https://doi.org/10.1002/cem.3085
  • Open Access
    Song, Y. (2019). Fusing heterogeneous data sets. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Saccenti, E., Smilde, A. K., & Camacho, J. (2018). Group-wise ANOVA simultaneous component analysis for designed omics experiments. Metabolomics, 14(6), Article 73. https://doi.org/10.1007/s11306-018-1369-1
  • Open Access
    Folch-Fortuny, A., Teusink, B., Hoefsloot, H. C. J., Smilde, A. K., & Ferrer, A. (2018). Dynamic elementary mode modelling of non-steady state flux data. BMC Systems Biology, 12, Article 71. https://doi.org/10.1186/s12918-018-0589-3
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