Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 178
Number of items: 178
  • Open Access
    Folch-Fortuny, A., Teusink, B., Hoefsloot, H. C. J., Smilde, A. K., & Ferrer, A. (2018). Dynamic elementary mode modelling of non-steady state flux data. BMC Systems Biology, 12, Article 71. https://doi.org/10.1186/s12918-018-0589-3
  • Oka, R., Zicola, J., Weber, B., Anderson, S. N., Hodgman, C., Gent, J. I., Wesselink, J.-J., Springer, N. M., Hoefsloot, H. C., Turck, F., & Stam, M. (2017). Additional file 2: of Genome-wide mapping of transcriptional enhancer candidates using DNA and chromatin features in maize [Data set]. Figshare. https://doi.org/10.6084/m9.figshare.c.3833383_d2.v1
  • Oka, R., Zicola, J., Weber, B., Anderson, S. N., Hodgman, C., Gent, J. I., Wesselink, J.-J., Springer, N. M., Hoefsloot, H. C., Turck, F., & Stam, M. (2017). Additional file 3: of Genome-wide mapping of transcriptional enhancer candidates using DNA and chromatin features in maize [Data set]. Figshare. https://doi.org/10.6084/m9.figshare.c.3833383_d3.v1
  • Oka, R., Zicola, J., Weber, B., Anderson, S. N., Hodgman, C., Gent, J. I., Wesselink, J.-J., Springer, N. M., Hoefsloot, H. C., Turck, F., & Stam, M. (2017). Additional file 4: of Genome-wide mapping of transcriptional enhancer candidates using DNA and chromatin features in maize [Data set]. Figshare. https://doi.org/10.6084/m9.figshare.c.3833383_d4.v1
  • Oka, R., Zicola, J., Weber, B., Anderson, S. N., Hodgman, C., Gent, J. I., Wesselink, J.-J., Springer, N. M., Hoefsloot, H. C., Turck, F., & Stam, M. (2017). Additional file 5: of Genome-wide mapping of transcriptional enhancer candidates using DNA and chromatin features in maize [Data set]. Figshare. https://doi.org/10.6084/m9.figshare.c.3833383_d5.v1
  • Oka, R., Zicola, J., Weber, B., Anderson, S. N., Hodgman, C., Gent, J. I., Wesselink, J.-J., Springer, N. M., Hoefsloot, H. C., Turck, F., & Stam, M. (2017). Additional file 6: of Genome-wide mapping of transcriptional enhancer candidates using DNA and chromatin features in maize [Data set]. Figshare. https://doi.org/10.6084/m9.figshare.c.3833383_d6.v1
  • Hoefsloot, H. C. J., van der Kloet, F. M., & Westerhuis, J. A. (2017). Why orthogonal rotations might be not so orthogonal as you think. Journal of Chemometrics, 31(10), Article e2920. https://doi.org/10.1002/cem.2920
  • Open Access
    Aru, V., Lam, C., Khakimov, B., Hoefsloot, H. C. J., Zwanenburg, G., Lind, M. V., Schäfer, H., van Duynhoven, J., Jacobs, D. M., Smilde, A. K., & Engelsen, S. B. (2017). Quantification of lipoprotein profiles by nuclear magnetic resonance spectroscopy and multivariate data analysis. Trends in Analytical Chemistry, 94, 210-219. https://doi.org/10.1016/j.trac.2017.07.009
  • Open Access
    Monsonis Centelles, S., Hoefsloot, H. C. J., Khakimov, B., Ebrahimi, P., Lind, M. V., Kristensen, M., de Roo, N., Jacobs, D. M., van Duynhoven, J., Cannet, C., Fang, F., Humpfer, E., Schäfer, H., Spraul, M., Engelsen, S. B., & Smilde, A. K. (2017). Toward Reliable Lipoprotein Particle Predictions from NMR Spectra of Human Blood: An Interlaboratory Ring Test. Analytical Chemistry, 89(15), 8004-8012. https://doi.org/10.1021/acs.analchem.7b01329
  • Open Access
    Oka, R., Zicola, J., Weber, B., Anderson, S. N., Hodgman, C., Gent, J. I., Wesselink, J.-J., Springer, N. M., Hoefsloot, H. C. J., Turck, F., & Stam, M. (2017). Genome-wide mapping of transcriptional enhancer candidates using DNA and chromatin features in maize. Genome Biology, 18, Article 137. https://doi.org/10.1186/s13059-017-1273-4
Page 3 of 18