Ole Winther

Ole Winther

Professor with special responsibilities, Visiting professor, Professor MSO

Member of:

    ORCID: 0000-0002-1966-3205

    Publication year:
    All
    11 - 20 out of 85Page size: 10
    1. 2023
    2. Published

      GraphPart: homology partitioning for biological sequence analysis

      Teufel, Felix Georg, Gíslason, M. H., Almagro Armenteros, J. J., Johansen, A. R., Winther, Ole & Nielsen, H., 2023, In: NAR Genomics and Bioinformatics. 5, 4, 9 p., lqad088.

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

    3. Published

      Molecular Representations in Machine-Learning-Based Prediction of PK Parameters for Insulin Analogs

      Einarson, K. A., Bendtsen, K. M., Li, K., Thomsen, M., Kristensen, N. R., Winther, Ole, Fulle, S., Clemmensen, L. & Refsgaard, H. H. F., 2023, In: ACS Omega. 8, 26, p. 23566-23578 13 p.

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

    4. Published

      RNA trafficking and subcellular localization—a review of mechanisms, experimental and predictive methodologies

      Wang, Jun, Horlacher, M., Cheng, L. & Winther, Ole, 2023, In: Briefings in Bioinformatics. 24, 5, 14 p., bbad249.

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

    5. Published

      Towards in silico CLIP-seq: predicting protein-RNA interaction via sequence-to-signal learning

      Horlacher, M., Wagner, N., Moyon, L., Kuret, K., Goedert, N., Salvatore, Marco, Ule, J., Gagneur, J., Winther, Ole & Marsico, A., 2023, In: Genome Biology. 24, 1, 37 p., 180.

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

    6. Published

      Transfer learning identifies sequence determinants of cell-type specific regulatory element accessibility

      Salvatore, Marco, Horlacher, M., Marsico, A., Winther, Ole & Andersson, Robin, 2023, In: NAR Genomics and Bioinformatics. 5, 2, 10 p., 026.

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

    7. Published

      Uncertainty-aware and explainable machine learning for early prediction of battery degradation trajectory

      Rieger, L. H., Flores, E., Nielsen, K. F., Norby, P., Ayerbe, E., Winther, Ole, Vegge, T. & Bhowmik, A., 2023, In: Digital Discovery. 2, 1, p. 112-122 11 p.

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

    8. Published

      Variational Open-Domain Question Answering

      Liévin, V., Motzfeldt, A. G., Jensen, I. R. & Winther, Ole, 2023, In: Proceedings of Machine Learning Research. 202, p. 20950-20977 28 p.

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

    9. 2022
    10. Published

      Calibrated uncertainty for molecular property prediction using ensembles of message passing neural networks

      Busk, J., Jørgensen, P. B., Bhowmik, A., Schmidt, M. N., Winther, Ole & Vegge, T., 2022, In: Machine Learning: Science and Technology. 3, 1, 12 p., 015012.

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

    11. Published

      DeepLoc 2.0: multi-label subcellular localization prediction using protein language models

      Thumuluri, V., Almagro Armenteros, J. J., Johansen, A. R., Nielsen, H. & Winther, Ole, 2022, In: Nucleic Acids Research. 50, W1, p. W228-W234

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

    12. Published

      Interpretable autoencoders trained on single cell sequencing data can transfer directly to data from unseen tissues

      Walbech, J. S., Kinalis, S., Winther, Ole, Nielsen, Finn Cilius & Bagger, F. O., 2022, In: Cells. 11, 12 p., 85.

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

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    ID: 171145930