Ole Winther

Ole Winther

Professor with special responsibilities, Visiting professor, Professor MSO

Member of:


    1. 2020
    2. Published

      scVAE: variational auto-encoders for single-cell gene expression data

      Grønbech, Christopher Heje, Vording, M. F., Timshel, P., Sønderby, C. K., Pers, Tune H & Winther, Ole, 2020, In: Bioinformatics. 36, 16, p. 4415-4422 8 p.

      Research output: Contribution to journalJournal articleResearchpeer-review

    3. 2019
    4. Published

      A perspective on inverse design of battery interphases using multi-scale modelling, experiments and generative deep learning

      Bhowmik, A., Castelli, I. E., Garcia-Lastra, J. M., Bjørn-Jørgensen, P., Winther, Ole & Vegge, T., 2019, In: Energy Storage Materials. 21, p. 446-456

      Research output: Contribution to journalReviewResearchpeer-review

    5. Published

      Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing data

      Kinalis, S., Nielsen, Finn Cilius, Winther, Ole & Bagger, F. O., 2019, In: BMC Bioinformatics. 20, 9 p., 379.

      Research output: Contribution to journalJournal articleResearchpeer-review

    6. Published

      Detecting sequence signals in targeting peptides using deep learning

      Almagro Armenteros, J. J., Salvatore, Marco, Emanuelsson, O., Winther, Ole, von Heijne, G., Elofsson, A. & Nielsen, H., 2019, In: Life Science Alliance. 2, 5, 14 p., 201900429.

      Research output: Contribution to journalJournal articleResearchpeer-review

    7. Published

      NetSurfP-2.0: improved prediction of protein structural features by integrated deep learning

      Klausen, M. S., Jespersen, M. C., Nielsen, H., Jensen, K. K., Jurtz, V. I., Sønderby, C. K., Sommer, M. O. A., Winther, Ole, Nielsen, M., Petersen, Bent & Marcatili, P., 2019, In: Proteins: Structure, Function and Bioinformatics. 87, 6, p. 520-527

      Research output: Contribution to journalJournal articleResearchpeer-review

    8. 2018
    9. Published

      SinaPlot: an enhanced chart for simple and truthful representation of single observations over multiple classes

      Sidiropoulos, N., Sohi, S. H., Pedersen, T. L., Porse, Bo Torben, Winther, Ole, Rapin, N. & Bagger, F. O., 2018, In: Journal of Computational and Graphical Statistics. 27, 3, p. 673-676 4 p.

      Research output: Contribution to journalJournal articleResearchpeer-review

    10. 2017
    11. Published

      An introduction to deep learning on biological sequence data: examples and solutions

      Jurtz, V. I., Johansen, A. R., Nielsen, M., Almagro Armenteros, J. J., Nielsen, H., Sønderby, C. K., Winther, Ole & Sønderby, S. K., 15 Nov 2017, In: Bioinformatics. 33, 22, p. 3685-3690 6 p.

      Research output: Contribution to journalReviewResearchpeer-review

    12. Published

      DeepLoc: prediction of protein subcellular localization using deep learning

      Almagro Armenteros, J. J., Sønderby, C. K., Sønderby, S. K., Nielsen, H. & Winther, Ole, 1 Nov 2017, In: Bioinformatics. 33, 21, p. 3387-3395 9 p.

      Research output: Contribution to journalJournal articleResearchpeer-review

    13. Published

      The Bipolar Illness Onset study: research protocol for the BIO cohort study

      Kessing, Lars Vedel, Munkholm, K., Faurholt-Jepsen, M., Miskowiak, Kamilla, Nielsen, L. B., Frikke-Schmidt, Ruth, Ekstrøm, Claus Thorn, Winther, Ole, Pedersen, Bente Klarlund, Poulsen, Henrik Enghusen, McIntyre, R. S., Kapczinski, F., Gattaz, W. F., Bardram, J., Frost, M., Mayora, O., Knudsen, Gitte Moos, Phillips, M. & Vinberg, Maj, 2017, In: BMJ Open. 7, 6, 12 p., e015462.

      Research output: Contribution to journalJournal articleResearchpeer-review

    14. 2016
    15. Published

      Angiotensinogen and HLA class II predict bevacizumab response in recurrent glioblastoma patients

      Urup, T., Michaelsen, Signe Regner, Olsen, L. R., Toft, A., Christensen, I. J., Grunnet, K., Winther, Ole, Broholm, H., Kosteljanetz, M., Issazadeh-Navikas, Shohreh, Poulsen, H. S. & Lassen, Ulrik Niels, Oct 2016, In: Molecular Oncology. 10, 8, p. 1160-1168

      Research output: Contribution to journalJournal articleResearchpeer-review

    ID: 171145930