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Results: 177
Number of items: 177
  • Open Access
    Hasdemir, D., Hoefsloot, H. C. J., Westerhuis, J. A., & Smilde, A. K. (2014). How informative is your kinetic model?: using resampling methods for model invalidation. BMC Systems Biology, 8, 61. https://doi.org/10.1186/1752-0509-8-61
  • Borirak, O., Bekker, M., Rolfe, M. D., Dekker, H. L., de Jong, L., de Koster, C. G., Hoefsloot, H. C. J., de Koning, L. J., & Hellingwerf, K. J. (2013). Dynamic changes of the Escherichia coli transcriptome and proteome exerted by glucose repression. The FASEB Journal, 27(1 Supplement), Article lb136. http://www.fasebj.org/content/27/1_Supplement/lb136.abstract
  • Abeln, S., Molenaar, D., Feenstra, K. A., Hoefsloot, H. C. J., Teusink, B., & Heringa, J. (2013). Bioinformatics and Systems Biology: bridging the gap between heterogeneous student backgrounds. Briefings in Bioinformatics, 14(5), 589-598. https://doi.org/10.1093/bib/bbt023
  • Christin, C., Hoefsloot, H. C. J., Smilde, A. K., Hoekman, B., Suits, F., Bischoff, R., & Horvatovich, P. (2013). A critical assessment of feature selection methods for biomarker discovery in clinical proteomics. Molecular & Cellular Proteomics, 12(1), 263-276. https://doi.org/10.1074/mcp.M112.022566
  • Hoefsloot, H. C. J. (2013). Statistical Analysis and validation. In P. Horvatovich, & R. Bischoff (Eds.), Comprehensive Biomarker Discovery and Validation for Clinical Application (pp. 226-242). (RSC Drug Discovery; No. 33). RSC Publishing. https://doi.org/10.1039/9781849734363-00226
  • Smilde, A. K., Hendriks, M. M. W. B., Westerhuis, J., & Hoefsloot, H. C. J. (2013). Data Processing in Metabolomics. In M. Lämmerhofer, & W. Weckwerth (Eds.), Metabolomics in Practice: Successful Strategies to Generate and Analyze Metabolic Data (pp. 261- 284). Wiley-VCH. https://doi.org/10.1002/9783527655861.ch11
  • Open Access
    Kutzera, J., Hoefsloot, H. C. J., Malovannaya, A., Smit, A. B., Van Mechelen, I., & Smilde, A. K. (2013). Inferring protein-protein interaction complexes from immunoprecipitation data. BMC Research Notes, 6, Article 468. https://doi.org/10.1186/1756-0500-6-468
  • Open Access
    Hendrickx, D. M. (2013). Network inference from time-resolved metabolomics data. [Thesis, fully internal, Universiteit van Amsterdam].
  • Jansen, J. J., Szymanska, E., Hoefsloot, H. C. J., & Smilde, A. K. (2012). Individual differences in metabolomics: individualised responses and between-metabolite relationships. Metabolomics, 8(Suppl 1), 94-104. https://doi.org/10.1007/s11306-012-0414-8
  • Hendrickx, D. M., Hoefsloot, H. C. J., Hendriks, M. M. W. B., Vis, D. J., Canelas, A. B., Teusink, B., & Smilde, A. K. (2012). Inferring differences in the distribution of reaction rates across conditions. Molecular BioSystems, 8(9), 2415-2423. https://doi.org/10.1039/c2mb25015b
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