Ole Winther

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Casper Kaae Sønderby[email protected], ML/DL Research ScientistAdresse e-mail validée de twig.energy
José Juan Almagro ArmenterosPostdoc, Stanford UniversityAdresse e-mail validée de stanford.edu
Søren Kaae SønderbyAdresse e-mail validée de twig.energy
Henrik NielsenAssociate Professor, Department of Health Technology, Technical University of DenmarkAdresse e-mail validée de dtu.dk
Lars Kai HansenProfessor, Cognitive Systems, DTU Compute, Technical University of DenmarkAdresse e-mail validée de dtu.dk
Gunnar von HeijneStockholm UniversityAdresse e-mail validée de dbb.su.se
Søren BrunakProfessor of Disease Systems Biology, University of CopenhagenAdresse e-mail validée de cpr.ku.dk
Lars MaaløeCo-Founder & CTO @ Corti | Adj. Assoc. Professor of Machine Learning @ DTUAdresse e-mail validée de corti.ai
Konstantinos Tsirigos, PhD Bioinforma...DTU BiosustainAdresse e-mail validée de dtu.dk
Alexander JohansenStanford UniversityAdresse e-mail validée de stanford.edu
Anders KroghDepartment of Computer Science and Center for Health Data Science, University of CopenhagenAdresse e-mail validée de di.ku.dk
Frederik Otzen BaggerUniversity of Cambridge and EMBL-EBIAdresse e-mail validée de ebi.ac.uk
Thomas Nordahl PetersenDTU Food, National Food Institute, DenmarkAdresse e-mail validée de food.dtu.dk
Jonas BuskTechnical University of DenmarkAdresse e-mail validée de dtu.dk
Marco FraccaroTechnical University of DenmarkAdresse e-mail validée de dtu.dk
Nicolas RapindenmarkAdresse e-mail validée de ngc.dk
Mikkel N. SchmidtTechnical University of DenmarkAdresse e-mail validée de dtu.dk
paolo marcatiliHead of Antibody Design, Novo NordiskAdresse e-mail validée de novonordisk.com
Ricardo HenaoDuke UniversityAdresse e-mail validée de duke.edu
Lars Vedel KessingProfessor of Psychiatry, Psychiatric Center Copenhagen and University of Copenhagen, DenmarkAdresse e-mail validée de regionh.dk

Suivre

Ole Winther

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

Adresse e-mail validée de bio.ku.dk - Page d'accueil

machine learning bioinformatics deep learning artificial intelligence


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
SignalP 5.0 improves signal peptide predictions using deep neural networks JJ Almagro Armenteros, KD Tsirigos, CK Sønderby, TN Petersen, ... Nature biotechnology 37 (4), 420-423, 2019	4047	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	2804	2016
SignalP 6.0 predicts all five types of signal peptides using protein language models F Teufel, JJ Almagro Armenteros, AR Johansen, MH Gíslason, SI Pihl, ... Nature biotechnology 40 (7), 1023-1025, 2022	1687	2022
DeepLoc: prediction of protein subcellular localization using deep learning JJ Almagro Armenteros, CK Sønderby, SK Sønderby, H Nielsen, ... Bioinformatics 33 (21), 3387-3395, 2017	1157	2017
Ladder variational autoencoders CK Sønderby, T Raiko, L Maaløe, SK Sønderby, O Winther Advances in neural information processing systems 29, 2016	1153*	2016
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	856	2019
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	843	2007
DeepTMHMM predicts alpha and beta transmembrane proteins using deep neural networks J Hallgren, KD Tsirigos, MD Pedersen, JJ Almagro Armenteros, ... BioRxiv, 2022.04. 08.487609, 2022	775	2022
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	595	2019
Auxiliary deep generative models L Maaløe, CK Sønderby, SK Sønderby, O Winther International conference on machine learning, 1445-1453, 2016	522	2016
Sequential neural models with stochastic layers M Fraccaro, SK Sønderby, U Paquet, O Winther Advances in neural information processing systems 29, 2016	482	2016
The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line Nature genetics 41 (5), 553-562, 2009	423	2009
Improved metagenome binning and assembly using deep variational autoencoders JN Nissen, J Johansen, RL Allesøe, CK Sønderby, JJA Armenteros, ... Nature biotechnology 39 (5), 555-560, 2021	420	2021
DeepLoc 2.0: multi-label subcellular localization prediction using protein language models V Thumuluri, JJ Almagro Armenteros, AR Johansen, H Nielsen, O Winther Nucleic acids research 50 (W1), W228-W234, 2022	388	2022
A disentangled recognition and nonlinear dynamics model for unsupervised learning M Fraccaro, S Kamronn, U Paquet, O Winther Advances in neural information processing systems 30, 2017	370	2017
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	334	2016
Gaussian processes for classification: Mean-field algorithms M Opper, O Winther Neural computation 12 (11), 2655-2684, 2000	333	2000
Expectation consistent approximate inference. M Opper, O Winther, MJ Jordan Journal of Machine Learning Research 6 (12), 2005	297	2005
Can large language models reason about medical questions? V Liévin, CE Hother, AG Motzfeldt, O Winther Patterns 5 (3), 2024	293	2024
Bayesian non-negative matrix factorization MN Schmidt, O Winther, LK Hansen Independent Component Analysis and Signal Separation: 8th International …, 2009	293	2009

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