Researcher
Jose Juan Almagro Armenteros
Stanford University
Statistics
19 papers found
All papers authored by Jose Juan Almagro Armenteros
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Gunsagar S. Gulati,
Rachel Gleyzer,
Susanna Avagyan,
Erin L. Brown,
Wubing Zhang ,
Abul Usmani,
Noah Earland,
Zhenqin Wu,
James Zou,
Ryan C. Fields,
David Y. Chen,
Aadel A. Chaudhuri,
Aaron M. Newman
Mapping single-cell developmental potential in health and disease with interpretable deep learning
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Alexander Rosenberg Johansen,
Ole Winther,
Henrik Nielsen
GraphPart: Homology partitioning for biological sequence analysis
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Laura Pérez-Alós ,
Rownaq Fares Al-Sofi,
Line Dam Heftdal ,
Sebastian Rask Hamm ,
Dina Leth Møller ,
Mia Marie Pries-Heje ,
Kamille Fogh ,
Cecilie Bo Hansen ,
Rasmus Bo Hasselbalch,
Johannes Roth Madsen,
Jose Juan Almagro Armenteros ,
Ruth Frikke-Schmidt ,
Linda Hilsted ,
Erik Sørensen
and 7 other authors
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Nicole R. Gay,
Pierre M. Jean Beltran,
Joshua N. Adkins,
Jose J. Almagro Armenteros ,
Euan Ashley,
Julian Avila-Pacheco,
Dam Bae,
Nasim Bararpour,
Charles Burant,
Clary Clish,
Gary Cutter,
Surendra Dasari,
Courtney Dennis,
Charles R. Evans
and 168 other authors
Temporal dynamics of the multi-omic response to endurance exercise training across tissues
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,
Alexander Rosenberg Johansen,
Henrik Nielsen ,
Ole Winther
DeepLoc 2.0: multi-label subcellular localization prediction using protein language models
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José Juan Almagro Armenteros ,
Alexander Rosenberg Johansen,
Magnús Halldór Gíslason,
Silas Irby Pihl,
Konstantinos D. Tsirigos ,
Ole Winther ,
Søren Brunak ,
Gunnar von Heijne ,
Henrik Nielsen
SignalP 6.0 predicts all five types of signal peptides using protein language models
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Harboe Zb,
Sebastian Rask Hamm ,
Hamm Sr,
Laura Pérez-Alós ,
Pradeesh Sivapalan ,
Helene Priemé,
Alexander Svorre Jordan,
Torgny Wilcke ,
Dina Leth Møller ,
Peter Kjeldgaard,
Line Dam Heftdal ,
Johannes Roth Madsen,
Saher Shaker
and 24 other authors
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Jose Juan Almagro Armenteros ,
Alexander Rosenberg Johansen,
Jesper Salomon ,
Henrik Nielsen
Deep protein representations enable recombinant protein expression prediction
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Tatyana Goldberg,
Jose Juan Almagro Armenteros ,
Henrik Nielsen,
Burkhard Rost
Spectrum of Protein Location in Proteomes Captures Evolutionary Relationship Between Species
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Rosa Lundbye Allesøe,
Casper Kaae Sønderby,
Jose Juan Almagro Armenteros ,
Christopher Heje Grønbech,
Lars Juhl Jensen ,
Henrik Bjørn Nielsen ,
Thomas Nordahl Petersen,
Ole Winther,
Simon Rasmussen
Improved metagenome binning and assembly using deep variational autoencoders
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Alexander Rosenberg Johansen
Prediction of GPI-Anchored proteins with pointer neural networks
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Alexander Rosenberg Johansen,
Ole Winther,
Henrik Nielsen
Language modelling for biological sequences – curated datasets and baselines
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Louise Hesselbjerg Rasmussen,
Kosai Al-Nakeeb,
Jose Juan Almagro Armenteros ,
Christian Salgård Jensen,
Rimtas Dargis,
Oksana Lukjancenko,
Ulrik Stenz Justesen ,
Claus Moser,
Flemming S. Rosenvinge,
Xiaohui Chen Nielsen,
Jens Jørgen Christensen,
Simon Rasmussen
Download from www.nature.com
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Marco Salvatore ,
Olof Emanuelsson ,
Ole Winther,
Gunnar von Heijne ,
Arne Elofsson ,
Henrik Nielsen
Detecting sequence signals in targeting peptides using deep learning
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Konstantinos D. Tsirigos,
Casper Kaae Sønderby,
Thomas Nordahl Petersen,
Ole Winther,
Søren Brunak,
Gunnar von Heijne,
Henrik Nielsen
SignalP 5.0 improves signal peptide predictions using deep neural networks
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Casper Kaae Sønderby,
Søren Kaae Sønderby,
Henrik Nielsen ,
Ole Winther,
John Hancock
DeepLoc: prediction of protein subcellular localization using deep learning
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