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Results: 178
Number of items: 178
  • Open Access
    Naue, J., Hoefsloot, H. C. J., Mook, O. R. F., Rijlaarsdam-Hoekstra, L., van der Zwalm, M. C. H., Henneman, P., Kloosterman, A. D., & Verschure, P. J. (2017). Chronological age prediction based on DNA methylation: Massive parallel sequencing and random forest regression. Forensic Science International. Genetics, 31, 19-28. https://doi.org/10.1016/j.fsigen.2017.07.015
  • Open Access
    Julkowska, M. M., Koevoets, I. T., Mol, S., Hoefsloot, H., Feron, R., Tester, M. A., Keurentjes, J. J. B., Korte, A., Haring, M. A., de Boer, G. J., & Testerink, C. (2017). Genetic Components of Root Architecture Remodeling in Response to Salt Stress. The Plant Cell, 29(12), 3198-3213. https://doi.org/10.1105/tpc.16.00680
  • Open Access
    Kutzera, J. (2016). Computational interaction proteomics: from proteome to complexome. [Thesis, fully internal, Universiteit van Amsterdam].
  • Angermayr, S. A., van Alphen, P., Hasdemir, D., Kramer, G., Iqbal, M., van Grondelle, W., Hoefsloot, H. C., Choi, Y. H., & Hellingwerf, K. J. (2016). Culturing Synechocystis sp. Strain PCC 6803 with N2 and CO2 in a Diel Regime Reveals Multiphase Glycogen Dynamics with Low Maintenance Costs. Applied and Environmental Microbiology, 82(14), 4180-4189. https://doi.org/10.1128/AEM.00256-16
  • 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
  • Open Access
    Timmerman, M. E., Hoefsloot, H. C. J., Smilde, A. K., & Ceulemans, E. (2015). Scaling in ANOVA-simultaneous component analysis. Metabolomics, 11(5), 1265-1276. https://doi.org/10.1007/s11306-015-0785-8
  • 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
  • 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
  • Open Access
    Kutzera, J., Smilde, A. K., Wilderjans, T. F., & Hoefsloot, H. C. J. (2015). Towards a Hierarchical Strategy to Explore Multi-Scale IP/MS Data for Protein Complexes. PLoS ONE, 10(10), Article 0139704. https://doi.org/10.1371/journal.pone.0139704
  • Open Access
    Borirak, O., de Koning, L. J., van der Woude, A. D., Hoefsloot, H. C. J., Dekker, H. L., Roseboom, W., de Koster, C. G., & Hellingwerf, K. J. (2015). Quantitative proteomics analysis of an ethanol- and a lactate-producing mutant strain of Synechocystis sp. PCC6803. Biotechnology for Biofuels, 8, Article 111. https://doi.org/10.1186/s13068-015-0294-z
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