Henrik Nielsen

28 papers A 3C 1Misc 5Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
NetStart 2.0: prediction of eukaryotic translation initiation sites using a protein language model.
BMC Bioinform.
Line Sandvad Nielsen, Anders Gorm Pedersen, Ole Winther, Henrik Nielsen
2024 J jnl
Predicting the subcellular location of prokaryotic proteins with DeepLocPro.
Bioinform.
Jaime Moreno, Henrik Nielsen, Ole Winther, Felix Teufel
2024 J jnl
SpanSeq: Similarity-based sequence data splitting method for improved development and assessment of deep learning projects.
CoRR
Alfred Ferrer Florensa, José Juan Almagro Armenteros, Henrik Nielsen, Frank Møller Aarestrup, Philip Thomas Lanken Conradsen Clausen
2022 J jnl
DeepLoc 2.0: multi-label subcellular localization prediction using protein language models.
Nucleic Acids Res.
Vineet Thumuluri, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, Henrik Nielsen, Ole Winther
2022 J jnl
NetSolP: predicting protein solubility in Escherichia coli using language models.
Bioinform.
Vineet Thumuluri, Hannah-Marie Martiny, José Juan Almagro Armenteros, Jesper Salomon, Henrik Nielsen, Alexander Rosenberg Johansen
2022 J jnl
NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning.
Nucleic Acids Res.
Magnus Haraldson Høie, Erik Nicolas Kiehl, Bent Petersen, Morten Nielsen, Ole Winther, Henrik Nielsen, Jeppe Hallgren, Paolo Marcatili
2021 J jnl
Deep protein representations enable recombinant protein expression prediction.
Comput. Biol. Chem.
Hannah-Marie Martiny, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, Jesper Salomon, Henrik Nielsen
2017 J jnl
An introduction to deep learning on biological sequence data: examples and solutions.
Bioinform.
Vanessa Isabell Jurtz, Alexander Rosenberg Johansen, Morten Nielsen, José Juan Almagro Armenteros, Henrik Nielsen, Casper Kaae Sønderby, Ole Winther, Søren Kaae Sønderby
2017 J jnl
DeepLoc: prediction of protein subcellular localization using deep learning.
Bioinform.
José Juan Almagro Armenteros, Casper Kaae Sønderby, Søren Kaae Sønderby, Henrik Nielsen, Ole Winther
2017 J jnl
DeepLoc: prediction of protein subcellular localization using deep learning.
Bioinform.
José Juan Almagro Armenteros, Casper Kaae Sønderby, Søren Kaae Sønderby, Henrik Nielsen, Ole Winther
2015 — conf
Convolutional LSTM Networks for Subcellular Localization of Proteins.
AlCoB
Søren Kaae Sønderby, Casper Kaae Sønderby, Henrik Nielsen, Ole Winther
2015 J jnl
Convolutional LSTM Networks for Subcellular Localization of Proteins.
CoRR
Søren Kaae Sønderby, Casper Kaae Sønderby, Henrik Nielsen, Ole Winther
2014 J jnl
LocTree3 prediction of localization.
Nucleic Acids Res.
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
2005 J jnl
Prediction of twin-arginine signal peptides.
BMC Bioinform.
Jannick Dyrløv Bendtsen, Henrik Nielsen, David Widdick, Tracy Palmer, Søren Brunak
2000 J jnl
Assessing the accuracy of prediction algorithms for classification: an overview.
Bioinform.
Pierre Baldi, Søren Brunak, Yves Chauvin, Claus A. F. Andersen, Henrik Nielsen
1999 A conf
Metrics and Similarity Measures for Hidden Markov Models.
ISMB
Rune B. Lyngsø, Christian N. S. Pedersen, Henrik Nielsen
1998 A conf
Prediction of Signal Peptides and Signal Anchors by a Hidden Markov Model.
ISMB
Henrik Nielsen, Anders Krogh
1997 J jnl
A Neural Network Method for Identification of Prokaryotic and Eukaryotic Signal Peptides and Prediction of their Cleavage Sites.
Int. J. Neural Syst.
Henrik Nielsen, Jacob Engelbrecht, Søren Brunak, Gunnar von Heijne
1997 A conf
Neural Network Prediction of Translation Initiation Sites in Eukaryotes: Perspectives for EST and Genome Analysis.
ISMB
Anders Gorm Pedersen, Henrik Nielsen
1995 Misc conf
Quantization of non-linear predictors in speech coding.
ICASSP
Jes Thyssen, Henrik Nielsen, Steffen Duus Hansen
1995 C conf
Using Mirror Cameras for Estimating Depth.
CAIP
Jens Arnspang, Henrik Nielsen, Morten Christensen, Knud Henriksen
1994 — conf
Non-linear short-term prediction in speech coding.
ICASSP (1)
Jes Thyssen, Henrik Nielsen, Steffen Duus Hansen
1993 — conf
Improving the spectral balance of digital speech synthesis applied to a female, synthetic voice.
EUROSPEECH
Ida Frehr, Marianne Elmlund, Henrik Nielsen
1992 Misc conf
Comparative study of error correction coding schemes for the GSM half-rate channel.
ICASSP
Henrik Nielsen, Keld B. Mikkelsen, Henrik B. Hansen, Yuhang Wu, Knud J. Larsen, John Aasted Sørensen
1992 Misc conf
Improvements in 2.4 kbps high-quality speech coding.
ICASSP
Jesper Haagen, Henrik Nielsen, Steffen Duus Hansen
1992 J jnl
Sequence of a new snRNA from the ciliate Tetrahymena thermophila.
Nucleic Acids Res.
Henrik Ørum, Henrik Nielsen, Jan Engberg
1991 Misc conf
A 2.4 kbps high-quality speech coder.
ICASSP
Jesper Haagen, Henrik Nielsen, Steffen Duus Hansen
1991 Misc conf
High performance coder: a possible candidate for the GSM half-rate system.
ICASSP
Yuhang Wu, Henrik B. Hansen, Knud J. Larsen, Henrik Nielsen, John Aasted Sørensen