Ole Winther

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Casper Kaae SønderbyResearch ScientistVerified email at google.com
Søren Kaae SønderbyVerified email at bio.ku.dk
Lars Kai HansenProfessor, Cognitive Systems, DTU Compute, Technical University of DenmarkVerified email at dtu.dk
José Juan Almagro ArmenterosPostdoc, University of CopenhagenVerified email at cpr.ku.dk
Lars MaaløeCo-Founder & CTO at Corti | Adj. Assoc. Professor of Machine LearningVerified email at corti.ai
Frederik Otzen BaggerUniversity of Cambridge and EMBL-EBIVerified email at ebi.ac.uk
Anders KroghDepartment of Computer Science and Center for Health Data Science, University of CopenhagenVerified email at di.ku.dk
Nicolas RapindenmarkVerified email at deloitte.dk
Gunnar von HeijneStockholm UniversityVerified email at dbb.su.se
Marco FraccaroTechnical University of DenmarkVerified email at dtu.dk
Henrik NielsenAssociate Professor, Department of Health Technology, Technical University of DenmarkVerified email at dtu.dk
Søren BrunakProfessor of Disease Systems Biology, University of CopenhagenVerified email at cpr.ku.dk
Albin SandelinProfessor, The Bioinformatics Centre, Department of Biology & BRIC, Copenhagen UniversityVerified email at binf.ku.dk
Jakob E. BardramProfessor in Computer Science, Technical University of DenmarkVerified email at dtu.dk
Maria Faurholt-JepsenDepartment of Psychiatry, Copenhagen, DenmarkVerified email at faurholt-jepsen.com
Lars Vedel KessingProfessor of Psychiatry, Psychiatric Center Copenhagen and University of Copenhagen, DenmarkVerified email at regionh.dk
Mads FrostGuest Researcher at the IT University of CPH & co-founder and Data Protection Officer at MonsensoVerified email at madsfrost.dk
Thomas Nordahl PetersenDTU Food, National Food Institute, DenmarkVerified email at food.dtu.dk
Ricardo HenaoDuke UniversityVerified email at duke.edu
Bo PorseThe Finsen Laboratory, Rigshospitalet, University of CopenhagenVerified email at finsenlab.dk

Ole Winther

Biology, Univ of Copenhagen, Genomic Medicine, Rigshospitalet and Technical University of Denmark

Verified email at bio.ku.dk - Homepage

machine learning bioinformatics deep learning artificial intelligence


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SignalP 5.0 improves signal peptide predictions using deep neural networks JJA Armenteros, KD Tsirigos, CK Sønderby, TN Petersen, O Winther, ... Nature biotechnology 37 (4), 420-423, 2019	1491	2019
Autoencoding beyond pixels using a learned similarity metric ABL Larsen, SK Sønderby, H Larochelle, O Winther International conference on machine learning, 1558-1566, 2016	1463	2016
JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 update JC Bryne, E Valen, MHE Tang, T Marstrand, O Winther, I da Piedade, ... Nucleic acids research 36 (suppl_1), D102-D106, 2007	777	2007
Ladder variational autoencoders CK Sønderby, T Raiko, L Maaløe, SK Sønderby, O Winther Advances in neural information processing systems 29, 3738-3746, 2016	641*	2016
DeepLoc: prediction of protein subcellular localization using deep learning JJ Almagro Armenteros, CK Sønderby, SK Sønderby, H Nielsen, ... Bioinformatics 33 (21), 3387-3395, 2017	499	2017
The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line ROS Center, FANTOM Consortium Nature genetics 41 (5), 553, 2009	440	2009
Auxiliary deep generative models L Maaløe, CK Sønderby, SK Sønderby, O Winther International conference on machine learning, 1445-1453, 2016	387	2016
Gaussian processes for classification: Mean-field algorithms M Opper, O Winther Neural computation 12 (11), 2655-2684, 2000	318	2000
Sequential neural models with stochastic layers M Fraccaro, SK Sønderby, U Paquet, O Winther arXiv preprint arXiv:1605.07571, 2016	277	2016
Bayesian non-negative matrix factorization MN Schmidt, O Winther, LK Hansen International Conference on Independent Component Analysis and Signal …, 2009	242	2009
Expectation Consistent Approximate Inference. M Opper, O Winther, MJ Jordan Journal of Machine Learning Research 6 (12), 2005	241	2005
Growth-rate regulated genes have profound impact on interpretation of transcriptome profiling in Saccharomyces cerevisiae B Regenberg, T Grotkjær, O Winther, A Fausbøll, M Åkesson, C Bro, ... Genome biology 7 (11), 1-13, 2006	237	2006
NetSurfP‐2.0: Improved prediction of protein structural features by integrated deep learning MS Klausen, MC Jespersen, H Nielsen, KK Jensen, VI Jurtz, ... Proteins: Structure, Function, and Bioinformatics 87 (6), 520-527, 2019	231	2019
A Bayesian approach to on-line learning M Opper, O Winther On-line learning in neural networks, 363-378, 1998	230	1998
RSK is a principal effector of the RAS-ERK pathway for eliciting a coordinate promotile/invasive gene program and phenotype in epithelial cells U Doehn, C Hauge, SR Frank, CJ Jensen, K Duda, JV Nielsen, ... Molecular cell 35 (4), 511-522, 2009	204	2009
BloodSpot: a database of gene expression profiles and transcriptional programs for healthy and malignant haematopoiesis FO Bagger, D Sasivarevic, SH Sohi, LG Laursen, S Pundhir, CK Sønderby, ... Nucleic acids research 44 (D1), D917-D924, 2016	203	2016
Mean-field approaches to independent component analysis PAFR Højen-Sørensen, O Winther, LK Hansen Neural Computation 14 (4), 889-918, 2002	201	2002
Detecting sequence signals in targeting peptides using deep learning JJA Armenteros, M Salvatore, O Emanuelsson, O Winther, G Von Heijne, ... Life science alliance 2 (5), 2019	194	2019
A disentangled recognition and nonlinear dynamics model for unsupervised learning M Fraccaro, S Kamronn, U Paquet, O Winther arXiv preprint arXiv:1710.05741, 2017	182	2017
Genome-wide detection and analysis of hippocampus core promoters using DeepCAGE E Valen, G Pascarella, A Chalk, N Maeda, M Kojima, C Kawazu, M Murata, ... Genome research 19 (2), 255-265, 2009	151	2009

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