1. 2019
  2. A data-driven interactome of synergistic genes improves network-based cancer outcome prediction

    Allahyar, A., Ubels, J. & de Ridder, J., 2019, In : PLoS Computational Biology. 15, 2, p. 1-21 21 p., e1006657.

    Research output: Contribution to journalArticleScientificpeer-review

  3. 2016
  4. Pan-cancer subtyping in a 2D-map shows substructures that are driven by specific combinations of molecular characteristics

    Taskesen, E., Huisman, S., Mahfouz, A., Krijthe, J., de Ridder, J., van de Stolpe, A., van den Akker, E., Verhaegh, W. & Reinders, M., 25 Apr 2016, In : Scientific Reports. 6, 13 p., 24949.

    Research output: Contribution to journalArticleScientificpeer-review

  5. Computational pan-genomics: Status, promises and challenges

    Marschall, T., Marz, M., Abeel, TEPMF., Dijkstra, L., Dutilh, B. E., Ghaffaari, A., Kersey, P., Kloosterman, W. P., de Ridder, J., Wessels, L. & More Authors, 2016, In : Briefings in Bioinformatics. p. 1-18 18 p.

    Research output: Contribution to journalArticleScientificpeer-review

  6. Gamma-Retrovirus integration marks cell type-specific cancer genes: A novel profiling tool in cancer genomics

    Gilroy, K. L., Terry, A., Naseer, A., de Ridder, J., Allahyar, A., Wang, W., Carpenter, E., Mason, A., Wong, G. K. S., Cameron, E. R., Kilbey, A. & Neil, J. C., 2016, In : PLoS ONE. 11, 4, p. 1-20 20 p., e0154070.

    Research output: Contribution to journalArticleScientificpeer-review

  7. 2015
  8. Chromatin interactions predict co-expression in the mouse cortex

    Mahfouz, A., Babaei, S., Hulsman, M., Lelieveldt, B. P. F., de Ridder, J. & Reinders, M., Nov 2015, p. 1-1. 1 p.

    Research output: Contribution to conferencePosterScientific

  9. 3D hotspots of recurrent retroviral insertions reveal long-range interactions with cancer genes

    Babaei, S., Akhtar, W., de Jong, J., Reinders, MJT. & de Ridder, J., 2015, In : Nature Communications. 6, February, p. 1-10 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  10. Applications of DNA integrating elements: Facing the bias bully

    de Jong, J., Wessels, LFA., van Lohuizen, M., de Ridder, J. & Akhtar, W., 2015, In : Mobile Genetic Elements (Online). 4, 6, p. 1-6 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

  11. Correction: Genome wide DNA methylation profiles provide clues to the origin and pathogenesis of germ cell tumors

    Rijlaarsdam, MA., Tax, DMJ., Gillis, AJM., Dorssers, LCJ., Koestler, DC., de Ridder, J. & Looijenga, LHJ., 2015, In : PLoS ONE. 10, 7, p. 1-1 1 p.

    Research output: Contribution to journalArticleScientificpeer-review

  12. FERAL: Network-based classifier with application to breast cancer outcome prediction

    Allahyar, A. & de Ridder, J., 2015, In : Bioinformatics. 31, 12, p. i311-i319

    Research output: Contribution to journalArticleScientificpeer-review

  13. Genome wide DNA methylation profiles provide clues to the origin and pathogenesis of germ cell tumors

    Rijlaarsdam, MA., Tax, DMJ., Gillis, AJM., Dorssers, LCJ., Koestler, DC., de Ridder, J. & Looijenga, LHJ., 2015, In : PLoS ONE. 10, 4, p. 1-34 34 p.

    Research output: Contribution to journalArticleScientificpeer-review

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