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Results: 299
Number of items: 299
  • Open Access
    Li, L., Hoefsloot, H., de Graaf, A. A., Acar, E., & Smilde, A. K. (2022). Exploring dynamic metabolomics data with multiway data analysis: a simulation study. BMC Bioinformatics, 23(1), Article 31. https://doi.org/10.1186/s12859-021-04550-5
  • Open Access
    Castro-Mejía, J. L., Khakimov, B., Aru, V., Lind, M. V., Garne, E., Paulová, P., Tavakkoli, E., Hansen, L. H., Smilde, A. K., Holm, L., Engelsen, S. B., & Nielsen, D. S. (2022). Gut Microbiome and Its Cofactors Are Linked to Lipoprotein Distribution Profiles. Microorganisms, 10(11), Article 2156. https://doi.org/10.3390/microorganisms10112156
  • Kim, B., Westerhuis, J. A., Smilde, A. K., Floková, K., Suleiman, A. K. A., Kuramae, E., Zancarini, A., & Bouwmeester, H. (2021, March 15). 16S and ITS sequencing data from rice plants [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4604914
  • Tauler, R., Ruckebusch, C., & Smilde, A. (2021). TRICAP 2018 Angel Fire Resort, New Mexico. Journal of Chemometrics, 35(2), Article e3313. https://doi.org/10.1002/cem.3313
  • Camacho, J., Smilde, A. K., Saccenti, E., Westerhuis, J. A., & Bro, R. (2021). All sparse PCA models are wrong, but some are useful: Part II: Limitations and problems of deflation. Chemometrics and Intelligent Laboratory Systems, 208, Article 104212. https://doi.org/10.1016/j.chemolab.2020.104212
  • Vitale, R., de Noord, O. E., Westerhuis, J. A., Smilde, A. K., & Ferrer, A. (2021). Divide et impera: How disentangling common and distinctive variability in multiset data analysis can aid industrial process troubleshooting and understanding. Journal of Chemometrics, 35(2), Article e3266. https://doi.org/10.1002/cem.3266
  • Song, Y., Westerhuis, J. A., Aben, N., Wessels, L. F. A., Groenen, P. J. F., & Smilde, A. K. (2021). Generalized simultaneous component analysis of binary and quantitative data. Journal of Chemometrics, 35(3), Article e3312. https://doi.org/10.1002/cem.3312
  • Nørgaard, S. K., Linder-Steinlein, K., Eliasen, A. U., Stokholm, J., Chawes, B. L., Bønnelykke, K., Bisggard, H., Smilde, A. K., & Rasmussen, M. A. (2021). On using kernel integration by graphical LASSO to study partial correlations between heterogeneous data sets. Journal of Chemometrics, 35(10), Article e3324. https://doi.org/10.1002/cem.3324
  • Open Access
    Næs, T., Romano, R., Tomic, O., Måge, I., Smilde, A., & Liland, K. H. (2021). Sequential and orthogonalized PLS (SO-PLS) regression for path analysis: Order of blocks and relations between effects. Journal of Chemometrics, 35(10), Article e3243. https://doi.org/10.1002/cem.3243
  • Open Access
    Skou, P. B., Hosseini, E., Ghasemi, J. B., Smilde, A. K., & Eskildsen, C. E. (2021). Orthogonality constrained inverse regression to improve model selectivity and analyte predictions from vibrational spectroscopic measurements. Analytica Chimica Acta, 1185, Article 339073. https://doi.org/10.1016/j.aca.2021.339073
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