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

      Bioinformatics for cancer immunotherapy target discovery

      Olsen, L. R., Campos, B., Stein Barnkob, M., Winther, Ole, Brusic, V. & Andersen, M. H., 2014, In: Cancer Immunology, Immunotherapy. 63, 12, p. 1235-1249 15 p.

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

    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

      Improving The Analysis Of Gene Expression Profiles By Comparing AML Blasts With Their Nearest Normal Counterparts

      Rapin, N., Bagger, F. O., Jendholm, J., Mora-Jensen, H. I., Krogh, Anders, Kohlmann, A., Thiede, C., Borregaard, N., Bullinger, L., Winther, Ole, Theilgaard-Mønch, Kim & Porse, Bo Torben, 2013, In: Blood. 122, 21

      Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

    4. Published

      Comparing cancer vs normal gene expression profiles identifies new disease entities and common transcriptional programs in AML patients

      Rapin, N. P. J., Bagger, F. O., Jendholm, L. J., Mora-Jensen, H., Krogh, Anders, Kohlmann, A., Thiede, C., Borregaard, N., Bullinger, L., Winther, Ole, Theilgaard-Mønch, Kim & Porse, Bo Torben, 6 Feb 2014, In: Blood (online). 123, 6, p. 894-904 11 p.

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

    5. Published

      Growth-rate regulated genes have profound impact on interpretation of transcriptome profiling in Saccharomyces cerevisiae

      Regenberg, Birgitte, Grotkjaer, T., Winther, Ole, Fausbøll, A., Akesson, M., Bro, C., Hansen, L. K., Brunak, Søren & Nielsen, Jens Bo, 2006, In: Genome Biology (Online Edition). 7, 11, p. R107

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

    6. 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

    7. Published

      Down-regulation of microRNAs controlling tumourigenic factors in follicular thyroid carcinoma

      Rossing, M., Helweg-Larsen, R. B., Henao Giraldo, R., Winther, Ole, Vikeså, J., Niazi, O., Godballe, C., Krogdahl, A., Glud, M., Sørensen, C. H., Kiss, K., Bennedbæk, F. N. & Nielsen, Finn Cilius, 2012, In: Journal of Molecular Endocrinology. 48, 1, p. 11-23 13 p.

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

    8. Published

      Transcriptional regulation of gene expression clusters in motor neurons following spinal cord injury

      Ryge, J., Winther, Ole, Wienecke, Jacob, Sandelin, Albin Gustav, Westerdahl, A., Hultborn, Hans & Kiehn, O., 2010, In: BMC Genomics. 11, 1, p. 365 22 p.

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

    9. 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

    10. 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

    11. 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

    12. 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

    13. 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

    14. Published

      Enterococcus faecalis infection causes inflammation, intracellular oxphos-independent ROS production, and DNA damage in human gastric cancer cells

      Strickertsson, J. A. B., Desler, Claus, Martin-Bertelsen, T., Machado, A. M. D., Wadstrøm, T., Winther, Ole, Rasmussen, Lene Juel & Friis-Hansen, Lennart Jan, 2013, In: PLOS ONE. 8, 4, p. 1-13 13 p., e63147.

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

    15. Published

      The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line

      Suzuki, H., Forrest, A. R. R., van Nimwegen, E., Daub, C. O., Balwierz, P. J., Irvine, K. M., Lassmann, T., Ravasi, T., Hasegawa, Y., de Hoon, M. J. L., Katayama, S., Schroder, K., Carninci, P., Tomaru, Y., Kanamori-Katayama, M., Kubosaki, A., Akalin, A., Ando, Y., Arner, E., Asada, M. & 31 others, Asahara, H., Bailey, T., Bajic, V. B., Bauer, D., Beckhouse, A. G., Bertin, N., Björkegren, J., Brombacher, F., Bulger, E., Chalk, A. M., Chiba, J., Cloonan, N., Dawe, A., Dostie, J., Engström, P. G., Essack, M., Faulkner, G. J., Fink, J. L., Fredman, D., Fujimori, K., Furuno, M., Gojobori, T., Gough, J., Grimmond, S. M., Jacobsen, A., Krogh, Anders, Nygaard, S., Sandelin, Albin Gustav, Valen, E., Winther, Ole & Riken Omics Science Center, R. O. S. C., 2009, In: Nature Genetics. 41, 5, p. 553-62 9 p.

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

    16. Published

      Ladder variational autoencoders

      Sønderby, C. K., Raiko, T., Maaløe, L., Sønderby, S. K. & Winther, Ole, 2016, Advances in Neural Information Processing Systems 29 (NIPS 2016). Lee, D. D., Sugiyama, M., Luxburg, U. V., Guyon, I. & Garnett, R. (eds.). Curran Associates, Inc., p. 3745-3753 9 p. (Advances in Neural Information Processing Systems, Vol. 29).

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

    17. Published

      Convolutional LSTM networks for subcellular localization of proteins

      Sønderby, S. K., Sønderby, C. K., Nielsen, H. & Winther, Ole, 2015, Algorithms for Computational Biology. Dediu, A-H., Hernández-Quiroz, F., Martín-Vide, C. & Rosenblueth, D. A. (eds.). Springer, p. 68-80 13 p. (Lecture notes in computer science, Vol. 9199).

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

    18. Published

      BayesMD: Flexible Biological Modeling for Motif Discovery

      Tang, M. E., Krogh, Anders & Winther, Ole, 2008, In: Journal of Computational Biology. 15, 10, p. 1347-63 16 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

      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

    21. 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

    22. 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

    23. 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

    24. 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

    25. 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

    26. 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

    27. 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

    28. Published

      Genome-wide detection and analysis of hippocampus core promoters using DeepCAGE

      Valen, E., Pascarella, G., Chalk, A., Maeda, N., Kojima, M., Kawazu, C., Murata, M., Nishiyori, H., Lazarevic, D., Motti, D., Marstrand, T. T., Tang, M-H. E., Zhao, X., Krogh, A., Winther, O., Arakawa, T., Kawai, J., Wells, C., Daub, C., Harbers, M. & 4 others, Hayashizaki, Y., Gustincich, S., Sandelin, Albin Gustav & Carninci, P., 2009, In: Genome Research. 19, 2, p. 255-65 10 p.

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

    29. Published

      Discovery of regulatory elements is improved by a discriminatory approach

      Valen, E., Sandelin, Albin Gustav, Winther, Ole & Krogh, Anders, 2009, In: PLoS Computational Biology. 5, 11, p. e1000562

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

    30. Published

      Cancers of unknown primary origin (CUP) are characterized by chromosomal instability (CIN) compared to metastasis of know origin

      Vikeså, J., Møller, A. K. H., Kaczkowski, B., Helweg-Larsen, R. B., Winther, Ole, Henao Giraldo, R., Krogh, Anders, Perell, K., Jensen, F., Daugaard, G. & Nielsen, Finn Cilius, 2015, In: B M C Cancer. 15, 14 p., 151.

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

    31. 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

    32. 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

    33. 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

    34. Published

      Tumor suppressor ASXL1 is essential for the activation of INK4B expression in response to oncogene activity and anti-proliferative signals

      Wu, X., Bekker-Jensen, I. H., Christensen, J., Rasmussen, K. D., Sidoli, S., Qi, Y., Kong, Y., Wang, X., Cui, Y., Xiao, Z., Xu, G., Williams, K., Rappsilber, J., Sønderby, C. K., Winther, Ole, Jensen, O. N. & Helin, K., 2015, In: Cell Research. 25, p. 1205-1218 14 p.

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

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