Vanessa Isabell Jurtz

  1. 2019
  2. Published

    A generic deep convolutional neural network framework for prediction of receptor–ligand interactions—NetPhosPan: application to kinase phosphorylation prediction. / Fenoy, Emilio; Gonzalez-Izarzugaza, Jose Maria; Jurtz, Vanessa ; Brunak, Søren; Nielsen, Morten.

    In: Bioinformatics, Vol. 35, No. 7, 2019, p. 1098-1107.

    Research output: Contribution to journalJournal article – Annual report year: 2019Researchpeer-review

  3. Published

    Computational Methods for Identification of T Cell Neoepitopes in Tumors. / Jurtz, Vanessa Isabell; Olsen, Lars Rønn.

    Cancer Bioinformatics. Vol. 1878 Springer, 2019. p. 157-172 (Methods in Molecular Biology).

    Research output: Chapter in Book/Report/Conference proceedingBook chapter – Annual report year: 2019Researchpeer-review

  4. Published
  5. 2018
  6. Published

    Determination of a predictive cleavage motif for eluted major histocompatibility complex class II ligands. / Paul, Sinu; Karosiene, Edita; Dhanda, Sandeep Kumar; Jurtz, Vanessa; Edwards, Lindy; Nielsen, Morten; Sette, Alessandro; Peters, Bjoern.

    In: Frontiers in Immunology, Vol. 9, No. AUG, 1795, 06.08.2018.

    Research output: Contribution to journalJournal article – Annual report year: 2018Researchpeer-review

  7. Published
  8. Published

    NetH2pan: A Computational Tool to Guide MHC peptide prediction on Murine Tumors. / DeVette, Christa I; Andreatta, Massimo; Bardet, Wilfried; Cate, Steven J; Jurtz, Vanessa Isabell; Jackson, Kenneth W; Welm, Alana L; Nielsen, Morten; Hildebrand, William H.

    In: Cancer Immunology Research, Vol. 6, No. 6, 2018, p. 636-644.

    Research output: Contribution to journalJournal article – Annual report year: 2018Researchpeer-review

  9. Published

    Prediction of asparaginase-associated pancreatitis in children with acute lymphoblastic leukemia. / Nielsen, Rikke Linnemann; Wolthers, Benjamin Ole; Helenius, Marianne; Jurtz, Vanessa; Schmiegelow, Kjeld; Gupta, Ramneek.

    2018. Abstract from The 13th Annual Meeting of the International Conference on Genomics, Shenzhen, China.

    Research output: Contribution to conferenceConference abstract for conference – Annual report year: 2018Researchpeer-review

  10. 2017
  11. Published

    An Analysis of Natural T Cell Responses to Predicted Tumor Neoepitopes. / Bjerregaard, Anne-Mette; Nielsen, Morten; Jurtz, Vanessa Isabell; Barra, Carolina M.; Hadrup, Sine Reker; Szallasi, Zoltan Imre; Eklund, Aron Charles.

    In: Frontiers in Immunology, Vol. 8, 1566, 2017.

    Research output: Contribution to journalJournal article – Annual report year: 2017Researchpeer-review

  12. Published

    An introduction to Deep learning on biological sequence data - Examples and solutions. / Jurtz, Vanessa Isabell; Johansen, Alexander Rosenberg; Nielsen, Morten; Almagro Armenteros, Jose Juan; Nielsen, Henrik; Kaae Sønderby, Casper; Winther, Ole; Kaae Sønderby, Søren.

    In: Bioinformatics, Vol. 33, No. 22, 2017, p. 3685-3690.

    Research output: Contribution to journalJournal article – Annual report year: 2017Researchpeer-review

  13. Published

    Machine Learning Reveals a Non-Canonical Mode of Peptide Binding to MHC class II Molecules. / Andreatta, Massimo; Jurtz, Vanessa Isabell; Kaever, Thomas; Sette, Alessandro; Peters, Bjoern; Nielsen, Morten.

    In: Immunology, 2017, p. 255-264.

    Research output: Contribution to journalJournal article – Annual report year: 2017Researchpeer-review

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