Completeness (order theory) and Generalization are all intertwined in Mathematical analysis research. Many of his studies on Generalization involve topics that are commonly interrelated, such as Mathematical analysis. Signal peptide and Protein sequencing are all intrinsically tied to his study in Peptide sequence. In his work, Ole Winther performs multidisciplinary research in Protein sequencing and Peptide sequence. While working on this project, Ole Winther studies both Gene and Signal peptide. Ole Winther merges Machine learning with Deep learning in his research. He performs integrative study on Deep learning and Machine learning in his works. His research on Artificial intelligence frequently connects to adjacent areas such as Pattern recognition (psychology). His Pattern recognition (psychology) study frequently links to related topics such as Artificial intelligence.
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SignalP 5.0 improves signal peptide predictions using deep neural networks
Jose Juan Almagro Armenteros;Konstantinos D. Tsirigos;Casper Kaae Sønderby;Thomas Nordahl Petersen.
Nature Biotechnology (2019)
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen;Søren Kaae Sønderby;Hugo Larochelle;Ole Winther.
international conference on machine learning (2016)
JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 update
Jan Christian Bryne;Eivind Valen;Man-Hung Eric Tang;Troels Torben Marstrand.
Nucleic Acids Research (2007)
DeepLoc: prediction of protein subcellular localization using deep learning.
Jose Juan Almagro Armenteros;Jose Juan Almagro Armenteros;Casper Kaae Sønderby;Søren Kaae Sønderby;Henrik Nielsen.
Ladder Variational Autoencoders
Casper Kaae Sønderby;Tapani Raiko;Lars Maaløe;Søren Kaae Sønderby.
neural information processing systems (2016)
The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line
Harukazu Suzuki;Alistair R.R. Forrest;Erik Van Nimwegen;Carsten O. Daub.
Nature Genetics (2009)
Gaussian Processes for Classification: Mean-Field Algorithms
Manfred Opper;Ole Winther.
Neural Computation (2000)
NetSurfP-2.0: Improved prediction of protein structural features by integrated deep learning
Michael Schantz Klausen;Martin Closter Jespersen;Henrik Nielsen;Kamilla Kjærgaard Jensen.
Detecting sequence signals in targeting peptides using deep learning.
Jose Juan Almagro Armenteros;Marco Salvatore;Marco Salvatore;Olof Emanuelsson;Olof Emanuelsson;Ole Winther;Ole Winther;Ole Winther.
Life Science Alliance (2019)
Bayesian Non-negative Matrix Factorization
Mikkel N. Schmidt;Ole Winther;Lars Kai Hansen.
international conference on independent component analysis and signal separation (2009)
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