Search results
Results: 14
Number of items: 14
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Smilde, A. K., Westerhuis, J. A., Hoefsloot, H. C. J., Bijlsma, S., Rubingh, C. M., Vis, D. J., Jellema, R. H., Pijl, H., Roelfsema, F., & van der Greef, J. (2010). Dynamic metabolomic data analysis: a tutorial review. Metabolomics, 6(1), 3-17. https://doi.org/10.1007/s11306-009-0191-1 -
Smilde, A. K., Kiers, H. A. L., Bijlsma, S., Rubingh, C. M., & van Erk, M. J. (2009). Matrix correlations for high-dimensional data: the modified RV-coefficient. Bioinformatics, 25(3), 401-405. https://doi.org/10.1093/bioinformatics/btn634
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Rubingh, C. M., Bijlsma, S., Derks, E. P. P. A., Bobeldijk, I., Verheij, E. R., Kochhar, S., & Smilde, A. K. (2006). Assessing the performance of statistical validation tools for megavariate metabolomics data. Metabolomics, 2(2), 53-61. https://doi.org/10.1007/s11306-006-0022-6
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Smilde, A. K., van der Werf, M. J., Bijlsma, S., Werff-van der Vat, B. J. C., & Jellema, R. H. (2005). Fusion of mass spectrometry-based metabolomics data. Analytical Chemistry, 77(20), 6729-6736. https://doi.org/10.1021/ac051080y
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Bijlsma, S., Boelens, H. F. M., Hoefsloot, H. C. J., & Smilde, A. K. (2002). Constrained least squares methods for estimating reaction rate constants from spectroscopic data. Journal of Chemometrics, 16(1), 28-40. https://doi.org/10.1002/cem.668
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Gurden, S. P., Westerhuis, J. A., Bijlsma, S., & Smilde, A. K. (2001). Modelling of spectroscopicbatch process data using grey models to incorporate external information. Journal of Chemometrics, 15, 101-121. https://doi.org/10.1002/1099-128X(200102)15:2<101::AID-CEM602>3.0.CO;2-V
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Bijlsma, S., Boelens, H. F. M., & Smilde, A. K. (2001). Rapid Determination of Rate Constants in Second-Order Kinetics using UV-Vis Spectroscopy. Applied Spectroscopy, 55, 77-83. https://doi.org/10.1366/0003702011951281
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Bijlsma, S., Boelens, H. F. M., Hoefsloot, H. C. J., & Smilde, A. K. (2000). Estimating reaction rate constants: comparison between traditional curve fitting and curve resolution. Analytica Chimica Acta, 419, 197-207. https://doi.org/10.1016/S0003-2670(00)00994-6
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