Ole Winther

Ole Winther

Professor with special responsibilities


  1. 2019
  2. 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

  3. Published

    SignalP 5.0 improves signal peptide predictions using deep neural networks

    Armenteros, J. J. A., Tsirigos, Konstantinos, Sønderby, C. K., Petersen, T. N., Winther, Ole, Brunak, Søren, von Heijne, G. & Nielsen, H., 18 Feb 2019, In: Nature Biotechnology. 37, 4, p. 420-423

    Research output: Contribution to journalJournal articleCommunication

  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

    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, B. & Marcatili, P., 2019, In: Proteins: Structure, Function and Bioinformatics. 87, 6, p. 520-527

    Research output: Contribution to journalJournal articleResearchpeer-review

ID: 171145930