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. 2019
    2. 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

    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. 2017
    7. 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 journal › Journal article › Research › peer-review

    8. 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

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

    10. 2016
    11. Published

      BloodSpot: a database of gene expression profiles and transcriptional programs for healthy and malignant haematopoiesis

      Bagger, F. O., Sasivarevic, D., Hadi Sohi, S., Laursen, L. G., Pundhir, Sachin, Sønderby, C. K., Winther, Ole, Rapin, N. & Porse, Bo Torben, 4 Jan 2016, In: Nucleic Acids Research. 44, D1, p. D917-24 8 p.

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

    12. Published

      Competence classification of cumulus and granulosa cell transcriptome in embryos matched by morphology and female age

      Borup, R., Thuesen, L. L., tcg964, tcg964, Andersen, A. N., Ziebe, S., Winther, Ole & Grøndahl, M. L., 2016, In: P L o S One. 11, 4, p. 1-19 19 p., e0153562.

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

    13. Published

      Sequential neural models with stochastic layers

      Fraccaro, M., Sønderby, S. K., Paquet, U. & Winther, Ole, 2016, Neural Information Processing Systems 2016. Lee, D. D., Sugiyama, M., Luxburg, U. V., Guyon, I. & Garnett, R. (eds.). Neural Information Processing Systems Foundation, p. 2207-2215 9 p. (Advances in Neural Information Processing Systems, Vol. 29).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    14. Published

      Autoencoding beyond pixels using a learned similarity metric

      Larsen, A. B. L., Sønderby, S. K., Larochelle, H. & Winther, Ole, 2016, Proceedings of The 33rd International Conference on Machine Learning. Balcan, M. F. & Weinberger, K. Q. (eds.). p. 1558–1566 9 p. (JMLR: Workshop and Conference Proceedings, Vol. 48).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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