Henrik Nielsen

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 8

Top Topics

Subcellular Localization

Predicting Protein

Top Venues

Nucleic Acids Res.

Publications

Alfred Ferrer Florensa, José Juan Almagro Armenteros, Henrik Nielsen, Frank Møller Aarestrup, Philip Thomas Lanken Conradsen Clausen
SpanSeq: Similarity-based sequence data splitting method for improved development and assessment of deep learning projects. CoRR (2024)
Magnus Haraldson Høie, Erik Nicolas Kiehl, Bent Petersen, Morten Nielsen, Ole Winther, Henrik Nielsen, Jeppe Hallgren, Paolo Marcatili
NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning. Nucleic Acids Res. 50 (W1) (2022)
Vineet Thumuluri, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, Henrik Nielsen, Ole Winther
DeepLoc 2.0: multi-label subcellular localization prediction using protein language models. Nucleic Acids Res. 50 (W1) (2022)
Vineet Thumuluri, Hannah-Marie Martiny, José Juan Almagro Armenteros, Jesper Salomon, Henrik Nielsen, Alexander Rosenberg Johansen
NetSolP: predicting protein solubility in Escherichia coli using language models. Bioinform. 38 (4) (2022)
Hannah-Marie Martiny, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, Jesper Salomon, Henrik Nielsen
Deep protein representations enable recombinant protein expression prediction. Comput. Biol. Chem. 95 (2021)
José Juan Almagro Armenteros, Casper Kaae Sønderby, Søren Kaae Sønderby, Henrik Nielsen, Ole Winther
DeepLoc: prediction of protein subcellular localization using deep learning. Bioinform. 33 (21) (2017)
José Juan Almagro Armenteros, Casper Kaae Sønderby, Søren Kaae Sønderby, Henrik Nielsen, Ole Winther
DeepLoc: prediction of protein subcellular localization using deep learning. Bioinform. 33 (24) (2017)
Vanessa Isabell Jurtz, Alexander Rosenberg Johansen, Morten Nielsen, José Juan Almagro Armenteros, Henrik Nielsen, Casper Kaae Sønderby, Ole Winther, Søren Kaae Sønderby
An introduction to deep learning on biological sequence data: examples and solutions. Bioinform. 33 (22) (2017)
Søren Kaae Sønderby, Casper Kaae Sønderby, Henrik Nielsen, Ole Winther
Convolutional LSTM Networks for Subcellular Localization of Proteins. AlCoB (2015)
Søren Kaae Sønderby, Casper Kaae Sønderby, Henrik Nielsen, Ole Winther
Convolutional LSTM Networks for Subcellular Localization of Proteins. CoRR (2015)
Tatyana Goldberg, Maximilian Hecht, Tobias Hamp, Timothy Karl, Guy Yachdav, Nadeem Ahmed, Uwe Altermann, Philipp Angerer, Sonja Ansorge, Kinga Balasz, Michael Bernhofer, Alexander Betz, Laura Cizmadija, Kieu Trinh Do, Julia Gerke, Robert Greil, Vadim Joerdens, Maximilian Hastreiter, Katharina Hembach, Max Herzog, Maria Kalemanov, Michael Kluge, Alice Meier, Hassan Nasir, Ulrich Neumaier, Verena Prade, Jonas Reeb, Aleksandr Sorokoumov, Ilira Troshani, Susann Vorberg, Sonja Waldraff, Jonas Zierer, Henrik Nielsen, Burkhard Rost
LocTree3 prediction of localization. Nucleic Acids Res. 42 (Webserver-Issue) (2014)
Jannick Dyrløv Bendtsen, Henrik Nielsen, David Widdick, Tracy Palmer, Søren Brunak
Prediction of twin-arginine signal peptides. BMC Bioinform. 6 (2005)
Pierre Baldi, Søren Brunak, Yves Chauvin, Claus A. F. Andersen, Henrik Nielsen
Assessing the accuracy of prediction algorithms for classification: an overview. Bioinform. 16 (5) (2000)
Rune B. Lyngsø, Christian N. S. Pedersen, Henrik Nielsen
Metrics and Similarity Measures for Hidden Markov Models. ISMB (1999)
Henrik Nielsen, Anders Krogh
Prediction of Signal Peptides and Signal Anchors by a Hidden Markov Model. ISMB (1998)
Henrik Nielsen, Jacob Engelbrecht, Søren Brunak, Gunnar von Heijne
A Neural Network Method for Identification of Prokaryotic and Eukaryotic Signal Peptides and Prediction of their Cleavage Sites. Int. J. Neural Syst. 8 (5-6) (1997)
Anders Gorm Pedersen, Henrik Nielsen
Neural Network Prediction of Translation Initiation Sites in Eukaryotes: Perspectives for EST and Genome Analysis. ISMB (1997)
Jes Thyssen, Henrik Nielsen, Steffen Duus Hansen
Quantization of non-linear predictors in speech coding. ICASSP (1995)
Jens Arnspang, Henrik Nielsen, Morten Christensen, Knud Henriksen
Using Mirror Cameras for Estimating Depth. CAIP (1995)
Jes Thyssen, Henrik Nielsen, Steffen Duus Hansen
Non-linear short-term prediction in speech coding. ICASSP (1) (1994)
Ida Frehr, Marianne Elmlund, Henrik Nielsen
Improving the spectral balance of digital speech synthesis applied to a female, synthetic voice. EUROSPEECH (1993)
Henrik Ørum, Henrik Nielsen, Jan Engberg
Sequence of a new snRNA from the ciliate Tetrahymena thermophila. Nucleic Acids Res. 20 (13) (1992)
Henrik Nielsen, Keld B. Mikkelsen, Henrik B. Hansen, Yuhang Wu, Knud J. Larsen, John Aasted Sørensen
Comparative study of error correction coding schemes for the GSM half-rate channel. ICASSP (1992)
Jesper Haagen, Henrik Nielsen, Steffen Duus Hansen
Improvements in 2.4 kbps high-quality speech coding. ICASSP (1992)
Jesper Haagen, Henrik Nielsen, Steffen Duus Hansen
A 2.4 kbps high-quality speech coder. ICASSP (1991)
Yuhang Wu, Henrik B. Hansen, Knud J. Larsen, Henrik Nielsen, John Aasted Sørensen
High performance coder: a possible candidate for the GSM half-rate system. ICASSP (1991)