prof. dr. V. (Victor) Guryev

Assistant Professor

prof. dr. V. (Victor) Guryev
E-mail:
v.guryev umcg.nl

Research

  1. 2020
  2. Lähnemann, D., Köster, J., Szczurek, E., McCarthy, D. J., Hicks, S. C., Robinson, M. D., ... Schönhuth, A. (2020). Eleven grand challenges in single-cell data science. Genome Biology, 21(1), 31-35. https://doi.org/10.1186/s13059-020-1926-6
  3. 2019
  4. Chaisson, M. J. P., Sanders, A. D., Zhao, X., Malhotra, A., Porubsky, D., Rausch, T., ... Lee, C. (2019). Multi-platform discovery of haplotype-resolved structural variation in human genomes. Nature Communications, 10(1), [1784]. https://doi.org/10.1038/s41467-018-08148-z
  5. FREX Consortium, GoNL Consortium, Kim, A., Savary, C., Dubourg, C., Carre, W., ... David, V. (2019). Integrated clinical and omics approach to rare diseases: novel genes and oligogenic inheritance in holoprosencephaly. Brain, 142(1), 35-49. https://doi.org/10.1093/brain/awy290
  6. Horvatovich, P., Brandsma, C-A., Suits, F., Bischoff, R., & Guryev, V. (2019). Proteogenomics and Multi-omics Data Integration for Personalized Medicine. In C. Carini, M. Fidock, & A. van Gool (Eds.), Handbook of Biomarkers and Precision Medicine New York: CRC Press. https://doi.org/10.1201/9780429202872-50
  7. 2018
  8. Bernal Arzola, V., Guryev, V., Bischoff, R., Horvatovich, P., & Grzegorczyk, M. (2018). Significance Tests for Gaussian Graphical Models Based on Shrunken Densities. In proceedings of the 33rd Inter- national Workshop on Statistical Modelling (IWSM), University of Bristol, UK, 16-20 July 2018 (Vol. 2, pp. 27). University of Bristol.
  9. Lauss, K., Wardenaar, R., Oka, R., van Hulten, M. H. A., Guryev, V., Keurentjes, J. J. B., ... Johannes, F. (2018). Parental DNA methylation states are associated with heterosis in epigenetic hybrids. Plant Physiology, 176(4), 1627-1645. https://doi.org/10.1104/pp.17.01054
  10. 2017
  11. Boudewijn, I. M., Faiz, A., Steiling, K., van der Wiel, E., Telenga, E. D., Hoonhorst, S. J. M., ... van den Berge, M. (2017). Nasal gene expression differentiates COPD from controls and overlaps bronchial gene expression. Respiratory Research, 18, [213]. https://doi.org/10.1186/s12931-017-0696-5
  12. Mahmud, H., Scherpen, F. J. G., Meeuwsen de Boer, T., Lourens, H-J., Schoenherr, C., Eder, M., ... de Bont, E. S. (2017). Peptide microarray profiling identifies phospholipase C gamma 1 (PLC-γ1) as a potential target for t(8;21) AML. Oncotarget, 8(40), 67344-67354. https://doi.org/10.18632/oncotarget.18631
  13. Bernal Arzola, V., Brandsma, C., Faiz, A., Guryev, V., Timens, W., van den Berge, M., ... Horvatovich, P. (2017). Gene regulatory network reconstruction with prior knowledge over mRNA data for COPD patients and controls. In M. Grzegorczyk, & G. Ceoldo (Eds.), Proceedings of the 32nd International Workshop on Statistical Modelling (IWSM), Johann Bernoulli Institute, Rijksuniversiteit Groningen, Netherlands, 3–7 July 2017. (Vol. 2, pp. 2015). Groningen: University of Groningen.
  14. Zlobin, A. S., Sharapov, S. S., Guryev, V. P., Bevova, M. R., Tsepilov, Y. A., Sivtseva, T. M., ... Osakovsky, V. L. (2017). Population specific analysis of Yakut exomes. Doklady. Biochemistry and biophysics, 474(1), 213-216. https://doi.org/10.1134/S1607672917030188
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