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Ole Winther

Showing results (11-20 of 92) with videos related to

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Bioinformatics (Oxford, England)|February 5, 2024
DeepLocRNA: an interpretable deep learning model for predicting RNA subcellular localization with domain-specific transfer-learningJun Wang, Marc Horlacher, Lixin Cheng, et al.
The Journal of Dermatological Treatment|October 19, 2019
Systematic review of machine learning for diagnosis and prognosis in dermatologyKenneth Thomsen, Lars Iversen, Therese Louise Titlestad, et al.
BMC Bioinformatics|September 11, 2010
Multivariate Hawkes process models of the occurrence of regulatory elementsLisbeth Carstensen, Albin Sandelin, Ole Winther, et al.
BMC Genomics|February 26, 2014
Literature classification for semi-automated updating of biological knowledgebasesLars Olsen, Ulrich Johan Kudahl, Ole Winther, et al.
BMC Bioinformatics|August 20, 2025
NetStart 2.0: prediction of eukaryotic translation initiation sites using a protein language modelLine Sandvad Nielsen, Anders Gorm Pedersen, Ole Winther, et al.
NAR Genomics and Bioinformatics|April 3, 2023
Transfer learning identifies sequence determinants of cell-type specific regulatory element accessibilityMarco Salvatore, Marc Horlacher, Annalisa Marsico, et al.
Scientific Data|December 24, 2022
Transition1x - a dataset for building generalizable reactive machine learning potentialsMathias Schreiner, Arghya Bhowmik, Tejs Vegge, et al.
BMC Bioinformatics|July 10, 2019
Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing dataSavvas Kinalis, Finn Cilius Nielsen, Ole Winther, et al.
Patterns (New York, N.Y.)|March 15, 2024
Can large language models reason about medical questions?Valentin Liévin, Christoffer Egeberg Hother, Andreas Geert Motzfeldt, et al.
Bioinformatics (Oxford, England)|November 1, 2005
Robust multi-scale clustering of large DNA microarray datasets with the consensus algorithmThomas Grotkjaer, Ole Winther, Birgitte Regenberg, et al.
Pageof 10

Showing results (11-20 of 92) with videos related to

Sort By:
Pageof 10
Bioinformatics (Oxford, England)|February 5, 2024
DeepLocRNA: an interpretable deep learning model for predicting RNA subcellular localization with domain-specific transfer-learningJun Wang, Marc Horlacher, Lixin Cheng, et al.
The Journal of Dermatological Treatment|October 19, 2019
Systematic review of machine learning for diagnosis and prognosis in dermatologyKenneth Thomsen, Lars Iversen, Therese Louise Titlestad, et al.
BMC Bioinformatics|September 11, 2010
Multivariate Hawkes process models of the occurrence of regulatory elementsLisbeth Carstensen, Albin Sandelin, Ole Winther, et al.
BMC Genomics|February 26, 2014
Literature classification for semi-automated updating of biological knowledgebasesLars Olsen, Ulrich Johan Kudahl, Ole Winther, et al.
BMC Bioinformatics|August 20, 2025
NetStart 2.0: prediction of eukaryotic translation initiation sites using a protein language modelLine Sandvad Nielsen, Anders Gorm Pedersen, Ole Winther, et al.
NAR Genomics and Bioinformatics|April 3, 2023
Transfer learning identifies sequence determinants of cell-type specific regulatory element accessibilityMarco Salvatore, Marc Horlacher, Annalisa Marsico, et al.
Scientific Data|December 24, 2022
Transition1x - a dataset for building generalizable reactive machine learning potentialsMathias Schreiner, Arghya Bhowmik, Tejs Vegge, et al.
BMC Bioinformatics|July 10, 2019
Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing dataSavvas Kinalis, Finn Cilius Nielsen, Ole Winther, et al.
Patterns (New York, N.Y.)|March 15, 2024
Can large language models reason about medical questions?Valentin Liévin, Christoffer Egeberg Hother, Andreas Geert Motzfeldt, et al.
Bioinformatics (Oxford, England)|November 1, 2005
Robust multi-scale clustering of large DNA microarray datasets with the consensus algorithmThomas Grotkjaer, Ole Winther, Birgitte Regenberg, et al.
Pageof 10