Ole Winther
Professor with special responsibilities, Visiting professor, Professor MSO
- 2021
- 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. 555-560Research output: Contribution to journal › Journal article › Research › peer-review
- 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
- 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
- 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
- 2020
- 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
- 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
- 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
- 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
- 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
- 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. 496-510Research output: Contribution to journal › Review › Research › peer-review
- 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
- 2019
- 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. 420-423Research output: Contribution to journal › Journal article › Communication
- 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. 446-456Research output: Contribution to journal › Review › Research › peer-review
- 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
- 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
- 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. 520-527Research output: Contribution to journal › Journal article › Research › peer-review
- 2018
- 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
- 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
- 2017
- 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
- 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
- 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
- 2016
- 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. 1160-1168Research output: Contribution to journal › Journal article › Research › peer-review
- 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
- 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
- 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
ID: 171145930
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Multivariate Hawkes process models of the occurrence of regulatory elements
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HemaExplorer: a database of mRNA expression profiles in normal and malignant haematopoiesis
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Enterococcus faecalis infection causes inflammation, intracellular oxphos-independent ROS production, and DNA damage in human gastric cancer cells
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