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Results: 299
Number of items: 299
  • Open Access
    Leygeber, S., Grossmann, J. L., Díez-Simón, C., Karu, N., Dubbelman , A.-C., Harms, A. C., Westerhuis, J. A., Jacobs, D. M., Lindenburg, P. W., Hendriks, M. M. W. B., Ammerlaan, B. C. H., van den Berg, M. A., van Doorn, R., Mumm, R., Hall, R. D., Smilde, A. K., & Hankemeier, T. (2022). Flavor Profiling Using Comprehensive Mass Spectrometry Analysis of Metabolites in Tomato Soups. Metabolites, 12(1194), Article 1194. https://doi.org/10.3390/metabo12121194
  • Open Access
    Kim, B., Westerhuis, J. A., Smilde, A. K., Floková, K., Suleiman, A. K. A., Kuramae, E. E., Bouwmeester, H. J., & Zancarini, A. (2022). Effect of strigolactones on recruitment of the rice root-associated microbiome. FEMS Microbiology Ecology, 98(2), Article fiac010. https://doi.org/10.1093/femsec/fiac010
  • 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
    Davarzani, N., Diez-Simon, C., Großmann, J. L., Jacobs, D. M., van Doorn, R., van den Berg, M. A., Smilde, A. K., Mumm, R., Hall, R. D., & Westerhuis, J. A. (2021). Systematic selection of competing metabolomics methods in a metabolite-sensory relationship study. Metabolomics, 17(9), Article 77. https://doi.org/10.1007/s11306-021-01821-3
  • 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
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