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

      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

    2. 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

    3. Published

      A computational method for identification of vaccine targets from protein regions of conserved human leukocyte antigen binding

      Olsen, L. R., Simon, C., Kudahl, U. J., Bagger, F. O., Winther, Ole, Reinherz, E. L., Zhang, G. L. & Brusic, V., 2015, In: B M C Medical Genomics. 8, Suppl 4, 6 p., 5.

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

    4. 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

    5. Published

      Airway inflammation in chronic rhinosinusitis with nasal polyps and asthma: the united airways concept further supported

      Håkansson, K., Bachert, C., Konge, Lars, Thomsen, Simon Francis, Pedersen, Anders Elm, Poulsen, Steen Seier, Martin-Bertelsen, T., Winther, Ole, Backer, Vibeke & von Buchwald, Christian, 2015, In: PloS one. 10, 7, 11 p., e0127228.

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

    6. 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

    7. 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

    8. 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

    9. 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

    10. 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

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    ID: 171145930