Ole Winther

Ole Winther

Professor with special responsibilities, Visiting professor, Professor MSO

Member of:

    ORCID: 0000-0002-1966-3205

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    1. 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

    2. 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

    3. 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

    4. 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

    5. 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

    6. 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

    7. 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

    8. 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

    9. 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

    10. 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

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    ID: 171145930