Ole Winther

Ole Winther

Professor with special responsibilities, Visiting professor, Professor MSO

Member of:

    ORCID: 0000-0002-1966-3205

    Publication year:
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    41 - 50 out of 84Page size: 10
    1. 2017
    2. 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 journal › Review › Research › peer-review

    3. 2018
    4. Published

      Binning microbial genomes using deep learning

      Nissen, J. N., Sønderby, C. K., Armenteros, J. J. A., Grønbech, Christopher Heje, Nielsen, H. B., Petersen, T. N., Winther, Ole & Rasmussen, Simon, 2018, (bioRxiv).

      Research output: Working paper › Preprint › Research

    5. 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 journal › Journal article › Research › peer-review

    6. 2019
    7. 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 journal › Review › Research › peer-review

    8. 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 journal › Journal article › Research › peer-review

    9. 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 journal › Journal article › Research › peer-review

    10. 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 journal › Journal article › Research › peer-review

    11. 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 journal › Journal article › Communication

    12. 2020
    13. 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 journal › Journal article › Research › peer-review

    14. Published

      Deep Learning for Diagnostic Binary Classification of Multiple-Lesion Skin Diseases

      Thomsen, K., Christensen, A. L., Iversen, L., Lomholt, H. B. & Winther, Ole, 2020, In: Frontiers in Medicine. 7, 7 p., 574329.

      Research output: Contribution to journal › Journal article › Research › peer-review

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    ID: 171145930