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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    1 - 50 out of 84Page size: 50
    1. 2024
    2. 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

    3. 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

    4. 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

    5. 2023
    6. 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

    7. 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

    8. 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

    9. 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

    10. 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

    11. 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

    12. 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

    13. 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

    14. 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

    15. 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

    16. 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

    17. 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

    18. 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

    19. 2022
    20. 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

    21. 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

    22. 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

    23. 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

    24. 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

    25. 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

    26. 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

    27. 2021
    28. 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

    29. 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

    30. 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

    31. 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

    32. 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

    33. 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

    34. 2020
    35. 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

    36. 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

    37. 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

    38. 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

    39. 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

    40. 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

    41. 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

    42. 2019
    43. 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

    44. 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

    45. 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

    46. 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

    47. 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

    48. 2018
    49. 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

    50. 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

    51. 2017
    52. 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

    53. 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

    54. 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

    55. 2016
    56. Published

      Angiotensinogen and HLA class II predict bevacizumab response in recurrent glioblastoma patients

      Urup, T., Michaelsen, Signe Regner, Olsen, L. R., Toft, A., Christensen, I. J., Grunnet, K., Winther, Ole, Broholm, H., Kosteljanetz, M., Issazadeh-Navikas, Shohreh, Poulsen, H. S. & Lassen, Ulrik Niels, Oct 2016, In: Molecular Oncology. 10, 8, p. 1160-1168

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

    57. 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

    58. 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

    59. 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

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