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2020 – today
- 2024
[i2]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 abs/2402.14482 (2024)- 2022
- [j12]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): 941-946 (2022) - [j11]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): 228-234 (2022) - [j10]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): 510-515 (2022) - 2021
- [j9]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: 107596 (2021)
2010 – 2019
- 2017
- [j8]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): 3387-3395 (2017) - [j7]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): 3685-3690 (2017) - [j6]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): 4049 (2017) - 2015
- [c12]Søren Kaae Sønderby, Casper Kaae Sønderby, Henrik Nielsen, Ole Winther:
Convolutional LSTM Networks for Subcellular Localization of Proteins. AlCoB 2015: 68-80 - [i1]Søren Kaae Sønderby, Casper Kaae Sønderby, Henrik Nielsen, Ole Winther:
Convolutional LSTM Networks for Subcellular Localization of Proteins. CoRR abs/1503.01919 (2015) - 2014
- [j5]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): 350-355 (2014)
2000 – 2009
- 2005
- [j4]Jannick Dyrløv Bendtsen, Henrik Nielsen, David Widdick, Tracy Palmer, Søren Brunak:
Prediction of twin-arginine signal peptides. BMC Bioinform. 6: 167 (2005) - 2000
- [j3]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): 412-424 (2000)
1990 – 1999
- 1999
- [c11]Rune B. Lyngsø, Christian N. S. Pedersen, Henrik Nielsen:
Metrics and Similarity Measures for Hidden Markov Models. ISMB 1999: 178-186 - 1998
- [c10]Henrik Nielsen, Anders Krogh:
Prediction of Signal Peptides and Signal Anchors by a Hidden Markov Model. ISMB 1998: 122-130 - 1997
- [j2]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): 581-599 (1997) - [c9]Anders Gorm Pedersen, Henrik Nielsen:
Neural Network Prediction of Translation Initiation Sites in Eukaryotes: Perspectives for EST and Genome Analysis. ISMB 1997: 226-233 - 1995
- [c8]Jens Arnspang, Henrik Nielsen, Morten Christensen, Knud Henriksen:
Using Mirror Cameras for Estimating Depth. CAIP 1995: 711-716 - [c7]Jes Thyssen, Henrik Nielsen, Steffen Duus Hansen:
Quantization of non-linear predictors in speech coding. ICASSP 1995: 265-268 - 1994
- [c6]Jes Thyssen, Henrik Nielsen, Steffen Duus Hansen:
Non-linear short-term prediction in speech coding. ICASSP (1) 1994: 185-188 - 1993
- [c5]Ida Frehr, Marianne Elmlund, Henrik Nielsen:
Improving the spectral balance of digital speech synthesis applied to a female, synthetic voice. EUROSPEECH 1993: 1915-1918 - 1992
- [j1]Henrik Ørum, Henrik Nielsen, Jan Engberg:
Sequence of a new snRNA from the ciliate Tetrahymena thermophila. Nucleic Acids Res. 20(13): 3518 (1992) - [c4]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: 129-132 - [c3]Jesper Haagen, Henrik Nielsen, Steffen Duus Hansen:
Improvements in 2.4 kbps high-quality speech coding. ICASSP 1992: 145-148 - 1991
- [c2]Jesper Haagen, Henrik Nielsen, Steffen Duus Hansen:
A 2.4 kbps high-quality speech coder. ICASSP 1991: 589-592 - [c1]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: 613-616
Coauthor Index
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