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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    51 - 84 out of 84Page size: 50
    1. 2020
    2. Published

      Identification and validation of 174 COVID-19 vaccine candidate epitopes reveals low performance of common epitope prediction tools

      Prachar, Marek, Justesen, S., Steen-Jensen, D. B., Thorgrimsen, S., Jurgons, E., Winther, Ole & Bagger, F. O., 2020, In: Scientific Reports. 10, 8 p., 20465.

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

    3. Published

      Optimal Variance Control of the Score-Function Gradient Estimator for Importance Weighted Bounds

      Liévin, V., Dittadi, A., Christensen, Anders & Winther, Ole, 2020, In: Advances in Neural Information Processing Systems. 2020-December, 12 p.

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

    4. 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 journal › Review › Research › peer-review

    5. Published

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

      Grønbech, Christopher Heje, Vording, M. F., Timshel, P., Sønderby, C. K., Pers, Tune H & Winther, Ole, 2020, In: Bioinformatics. 36, 16, p. 4415-4422 8 p.

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

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

    7. 2021
    8. Published

      A comparison of tools for copy-number variation detection in germline whole exome and whole genome sequencing data

      Gabrielaite, M., Torp, M., Rasmussen, M., Andreu-Sánchez, S., Vieira, Filipe Garrett, Pedersen, C., Kinalis, S., Madsen, M., Yde, C., Rønn, O. L., Marvig, R., Østrup, O., Rossing, Caroline Maria, Nielsen, Finn Cilius, Winther, Ole & Bagger, F. O., 2021, bioRxiv, 29 p.

      Research output: Working paper › Preprint › Research

    9. Published

      A comparison of tools for copy-number variation detection in germline whole exome and whole genome sequencing data

      Gabrielaite, M., Torp, M. H., Rasmussen, Malthe Sebro, Andreu-Sánchez, S., Vieira, Filipe Garrett, Pedersen, C. B., Kinalis, S., Madsen, M. B., Kodama, M., Demircan, G. S., Simonyan, A., Yde, C. W., Olsen, L. R., Marvig, R. L., Østrup, O., Rossing, Caroline Maria, Nielsen, Finn Cilius, Winther, Ole & Bagger, F. O., 2021, In: Cancers. 13, 24, 6283.

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

    10. Published

      Improved metagenome binning and assembly using deep variational autoencoders

      Nissen, J. N., Johansen, Joachim, Allesoe, R. L., Sonderby, C. K., Armenteros, J. J. A., Grønbech, Christopher Heje, Jensen, Lars Juhl, Nielsen, H. B., Petersen, T. N., Winther, Ole & Rasmussen, Simon, 2021, In: Nature Biotechnology. 39, p. 555-560

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

    11. Published

      NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data

      Montemurro, A., Schuster, Viktoria, Povlsen, H. R., Bentzen, A. K., Jurtz, V., Chronister, W. D., Crinklaw, A., Hadrup, S. R., Winther, Ole, Peters, B., Jessen, L. E. & Nielsen, M., 2021, In: Communications Biology . 4, 13 p., 1060.

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

    12. Published

      Reducing the rate of psychiatric re-admissions in bipolar disorder using smartphones - The RADMIS trial

      Faurholt-Jepsen, M., Lindbjerg Tønning, M., Fros, M., Martiny, Klaus, Tuxen, N., Rosenberg, N., Busk, J., Winther, Ole, Thaysen-Petersen, D., Aamund, K. A., Tolderlund, L., Bardram, J. E. & Kessing, Lars Vedel, 2021, In: Acta Psychiatrica Scandinavica. 143, 5, p. 453-465 13 p.

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

    13. Published

      The effect of smartphone-based monitoring and treatment on the rate and duration of psychiatric readmission in patients with unipolar depressive disorder: The RADMIS randomized controlled trial

      Tønning, M. L., Faurholt-Jepsen, Maria , Frost, M., Martiny, Klaus, Tuxen, N., Rosenberg, N., Busk, J., Winther, Ole, Melbye, S. A., Thaysen-Petersen, D., Aamund, K. A., Tolderlundh, L., Bardram, J. E. & Kessing, Lars Vedel, 2021, In: Journal of Affective Disorders. 282, p. 354-363 10 p.

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

    14. 2022
    15. 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

    16. 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

    17. 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

    18. Published

      NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning

      Høie, M. H., Kiehl, E. N., Petersen, Bent, Nielsen, M., Winther, Ole, Nielsen, H., Hallgren, J. & Marcatili, P., 2022, In: Nucleic Acids Research. 50, W1, p. W510-W515 6 p.

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

    19. Published

      SignalP 6.0 predicts all five types of signal peptides using protein language models

      Teufel, Felix Georg, Almagro Armenteros, J. J., Johansen, A. R., Gíslason, M. H., Pihl, S. I., Tsirigos, Konstantinos, Winther, Ole, Brunak, Søren, von Heijne, G. & Nielsen, H., 2022, In: Nature Biotechnology. 40, p. 1023-1025

      Research output: Contribution to journal › Comment/debate › Research

    20. Published

      Transfer learning reveals sequence determinants of regulatory element accessibility

      Salvatore, Marco, Horlacher, M., Winther, Ole & Andersson, Robin, 2022, bioRxiv, 24 p.

      Research output: Working paper › Preprint › Research

    21. Published

      Transition1x: a dataset for building generalizable reactive machine learning potentials

      Schreiner, M., Bhowmik, A., Vegge, T., Busk, J. & Winther, Ole, 2022, In: Scientific Data. 9, 1, 9 p., 779.

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

    22. 2023
    23. Published

      Deep integrative models for large-scale human genomics

      Sigurdsson, Arnór Ingi, Louloudis, Ioannis, Banasik, Karina, Westergaard, David, Winther, Ole, Lund, O., Ostrowski, Sisse Rye, Erikstrup, C., Pedersen, Ole Birger Vesterager, Nyegaard, Mette, Brunak, Søren, Vilhjálmsson, B. & Rasmussen, Simon, 2023, In: Nucleic Acids Symposium Series. 51, 12, 16 p.

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

    24. Published

      DeepPeptide predicts cleaved peptides in proteins using conditional random fields

      Teufel, Felix Georg, Refsgaard, J. C., Madsen, C. T., Stahlhut, C., Grønborg, M., Winther, Ole & Madsen, D., 2023, In: Bioinformatics (Oxford, England). 39, 10, 6 p., btad616.

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

    25. Published

      Deorphanizing Peptides Using Structure Prediction

      Teufel, Felix Georg, Refsgaard, J. C., Kasimova, M. A., Deibler, K., Madsen, C. T., Stahlhut, C., Grønborg, M., Winther, Ole & Madsen, D., 2023, In: Journal of Chemical Information and Modeling. 63, 9, 5 p.

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

    26. Published

      DermX: An end-to-end framework for explainable automated dermatological diagnosis

      Jalaboi, R., Faye, F., Orbes-Arteaga, M., Jørgensen, D., Winther, Ole & Galimzianova, A., 2023, In: Medical Image Analysis. 83, 12 p., 102647.

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

    27. Published

      Explainable Image Quality Assessments in Teledermatological Photography

      Jalaboi, R., Winther, Ole & Galimzianova, A., 2023, In: Telemedicine and e-Health. 29, 9, p. 1342-1348 7 p.

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

    28. Published

      Graph neural network interatomic potential ensembles with calibrated aleatoric and epistemic uncertainty on energy and forces

      Busk, J., Schmidt, M. N., Winther, Ole, Vegge, T. & Jørgensen, P. B., 2023, In: Physical Chemistry Chemical Physics. 25, p. 25828-25837 10 p.

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

    29. 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

    30. 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

    31. 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

    32. 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

    33. 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

    34. 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

    35. 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

    36. 2024
    37. Published

      Can large language models reason about medical questions?

      Liévin, V., Hother, C. E., Motzfeldt, A. G. & Winther, Ole, 2024, In: Patterns. 5, 3, 12 p., 100943.

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

    38. Published

      DeepLocRNA: an interpretable deep learning model for predicting RNA subcellular localization with domain-specific transfer-learning

      Wang, Jun, Horlacher, M., Cheng, L. & Winther, Ole, 2024, In: Bioinformatics. 40, 2, 10 p., btae065.

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

    39. Published

      DiscoTope-3.0: improved B-cell epitope prediction using inverse folding latent representations

      Høie, M. H., Gade, F. S., Johansen, J., Würtzen, C., Winther, Ole, Nielsen, M. & Marcatili, P., 2024, In: Frontiers in Immunology. 15, 12 p., 1322712.

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

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