Ole Winther
Professor with special responsibilities, Visiting professor, Professor MSO
- 2024
- 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
- 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
- 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
- 2023
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 2022
- 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
- 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-W234Research output: Contribution to journal › Journal article › Research › peer-review
- 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
- 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
- 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. 1023-1025Research output: Contribution to journal › Comment/debate › Research
- Published
- 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
- 2021
- 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
- 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
- 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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