Ole Winther

Ole Winther

Professor with special responsibilities

Member of:


    1. 2020
    2. E-pub ahead of print

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

      Grønbech, Christopher Heje, Vording, M. F., Timshel, Pascal Nordgren, Sønderby, C. K., Pers, Tune H & Winther, Ole, 16 May 2020, In : Bioinformatics. 8 p.

      Research output: Contribution to journalJournal articleResearchpeer-review

    3. Published

      Forecasting Mood in Bipolar Disorder From Smartphone Self-assessments: Hierarchical Bayesian Approach

      Busk, J., Faurholt-Jepsen, M., Frost, M., Bardram, J. E., Kessing, Lars Vedel & Winther, Ole, 1 Apr 2020, In : JMIR mHealth and uHealth. 8, 4, 14 p., e15028.

      Research output: Contribution to journalJournal articleResearchpeer-review

    4. Published

      Daily estimates of clinical severity of symptoms in bipolar disorder from smartphone-based self-assessments

      Busk, J., Faurholt-Jepsen, M., Frost, M., Bardram, J. E., Kessing, Lars Vedel & Winther, Ole, 2020, In : Translational Psychiatry. 10, 12 p., 194.

      Research output: Contribution to journalJournal articleResearchpeer-review

    5. Published

      Systematic review of machine learning for diagnosis and prognosis in dermatology

      Thomsen, K., Iversen, L., Titlestad, T. L. & Winther, Ole, 2020, In : Journal of Dermatological Treatment. 31, 5, p. 496-510

      Research output: Contribution to journalReviewResearchpeer-review

    6. 2019
    7. 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

    8. 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

    9. 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

    10. 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

    11. 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

    12. 2018
    13. Published

      Binning microbial genomes using deep learning

      Nissen, J. N., Sønderby, C. K., Almagro Armenteros, Jose Juan, Grønbech, Christopher Heje, Nielsen, H. B., Petersen, T. N., Winther, Ole & Rasmussen, Simon, 2018, In : bioRxiv. p. 490078

      Research output: Contribution to journalJournal articleResearch

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