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Results: 297
Number of items: 297
  • Mitra, V., Govorukhina, N., Zwanenburg, G., Hoefsloot, H., Westra, I., Smilde, A., Reijmers, T., van der Zee, A. G. J., Suits, F., Bischoff, R., & Horvatovich, P. (2016). Identification of Analytical Factors Affecting Complex Proteomics Profiles Acquired in a Factorial Design Study with Analysis of Variance: Simultaneous Component Analysis. Analytical Chemistry, 88(8), 4229-4238. https://doi.org/10.1021/acs.analchem.5b03483
  • Stroeve, J. H. M., Saccenti, E., Bouwman, J., Dane, A., Strassburg, K., Vervoort, J., Hankemeier, T., Astrup, A., Smilde, A. K., van Ommen, B., & Saris, W. H. M. (2016). Weight loss predictability by plasma metabolic signatures in adults with obesity and morbid obesity of the DiOGenes study. Obesity, 24(2), 379-388. https://doi.org/10.1002/oby.21361
  • Fazelzadeh, P., Hangelbroek, R. W. J., Tieland, M., de Groot, C. P. G. M., Verdijk, L. B., van Loon, L. J. C., Smilde, A. K., Alves, R. D. A. M., Vervoort, J., Müller, M., van Duynhoven, J. P. M., & Boekschoten, M. V. (2016). The Muscle Metabolome Differs between Healthy and Frail Older Adults. Journal of Proteome Research, 15(2), 499-509. https://doi.org/10.1021/acs.jproteome.5b00840
  • Open Access
    van der Kloet, F. M., Sebastián-León, P., Conesa, A., Smilde, A. K., & Westerhuis, J. A. (2016). Separating common from distinctive variation. BMC Bioinformatics, 17(Suppl 5), Article 195. https://doi.org/10.1186/s12859-016-1037-2
  • Open Access
    Kutzera, J. (2016). Computational interaction proteomics: from proteome to complexome. [Thesis, fully internal, Universiteit van Amsterdam].
  • Smilde, A. K., Timmerman, M. E., Saccenti, E., Jansen, J. J., & Hoefsloot, H. C. J. (2015). Covariances Simultaneous Component Analysis: a new method within a framework for modeling covariances. Journal of Chemometrics, 29(5), 277-288. https://doi.org/10.1002/cem.2707
  • Vis, D. J., Westerhuis, J. A., Jacobs, D. M., van Duynhoven, J. P. M., Wopereis, S., van Ommen, B., Hendriks, M. M. W. B., & Smilde, A. K. (2015). Analyzing metabolomics-based challenge test. Metabolomics, 11(1), 50-63. https://doi.org/10.1007/s11306-014-0673-7
  • Westerhuis, J. A., van Velzen, E. J. J., Jansen, J. J., Hoefsloot, H. C. J., & Smilde, A. K. (2015). Analysis of high-dimensional data from designed metabolomics studies. In M. Grootveld (Ed.), Metabolic profiling: disease and xenobiotics (pp. 117-136). (Issues in Toxicology; No. 21). Royal Society of Chemistry. https://doi.org/10.1039/9781849735162
  • Reshetova, P., Smilde, A. K., Westerhuis, J. A., & van Kampen, A. H. C. (2015). Using Petri nets for experimental design in a multi-organ elimination pathway. Computers in Biology and Medicine, 63, 19-27. https://doi.org/10.1016/j.compbiomed.2015.05.001
  • Open Access
    van Deun, K., Thorrez, L., van Berg, R. A., Smilde, A. K., & Van Mechelen, I. (2015). Not Just a Sum? Identifying Different Types of Interplay between Constituents in Combined Interventions. PLoS ONE, 10(5), Article e0125334. https://doi.org/10.1371/journal.pone.0125334
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