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Alexander Rosenberg Johansen

Showing results (1-10 of 8) with videos related to

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Nucleic Acids Research|April 30, 2022
DeepLoc 2.0: multi-label subcellular localization prediction using protein language modelsVineet Thumuluri, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, et al.
Computational Biology and Chemistry|November 14, 2021
Deep protein representations enable recombinant protein expression predictionHannah-Marie Martiny, Jose Juan Almagro Armenteros, Alexander Rosenberg Johansen, et al.
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)|March 13, 2018
EPILEPTIFORM SPIKE DETECTION VIA CONVOLUTIONAL NEURAL NETWORKSAlexander Rosenberg Johansen, Jing Jin, Tomasz Maszczyk, et al.
NAR Genomics and Bioinformatics|October 18, 2023
GraphPart: homology partitioning for biological sequence analysisFelix Teufel, Magnús Halldór Gíslason, José Juan Almagro Armenteros, et al.
Bioinformatics (Oxford, England)|January 28, 2022
NetSolP: predicting protein solubility in Escherichia coli using language modelsVineet Thumuluri, Hannah-Marie Martiny, Jose J Almagro Armenteros, et al.
Nucleic Acids Research|April 8, 2024
DeepLoc 2.1: multi-label membrane protein type prediction using protein language modelsMarius Thrane Ødum, Felix Teufel, Vineet Thumuluri, et al.
Bioinformatics (Oxford, England)|September 30, 2017
An introduction to deep learning on biological sequence data: examples and solutionsVanessa Isabell Jurtz, Alexander Rosenberg Johansen, Morten Nielsen, et al.
Nature Biotechnology|January 4, 2022
SignalP 6.0 predicts all five types of signal peptides using protein language modelsFelix Teufel, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Nucleic Acids Research|April 30, 2022
DeepLoc 2.0: multi-label subcellular localization prediction using protein language modelsVineet Thumuluri, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, et al.
Computational Biology and Chemistry|November 14, 2021
Deep protein representations enable recombinant protein expression predictionHannah-Marie Martiny, Jose Juan Almagro Armenteros, Alexander Rosenberg Johansen, et al.
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)|March 13, 2018
EPILEPTIFORM SPIKE DETECTION VIA CONVOLUTIONAL NEURAL NETWORKSAlexander Rosenberg Johansen, Jing Jin, Tomasz Maszczyk, et al.
NAR Genomics and Bioinformatics|October 18, 2023
GraphPart: homology partitioning for biological sequence analysisFelix Teufel, Magnús Halldór Gíslason, José Juan Almagro Armenteros, et al.
Bioinformatics (Oxford, England)|January 28, 2022
NetSolP: predicting protein solubility in Escherichia coli using language modelsVineet Thumuluri, Hannah-Marie Martiny, Jose J Almagro Armenteros, et al.
Nucleic Acids Research|April 8, 2024
DeepLoc 2.1: multi-label membrane protein type prediction using protein language modelsMarius Thrane Ødum, Felix Teufel, Vineet Thumuluri, et al.
Bioinformatics (Oxford, England)|September 30, 2017
An introduction to deep learning on biological sequence data: examples and solutionsVanessa Isabell Jurtz, Alexander Rosenberg Johansen, Morten Nielsen, et al.
Nature Biotechnology|January 4, 2022
SignalP 6.0 predicts all five types of signal peptides using protein language modelsFelix Teufel, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, et al.
Pageof 1